WIP ClusterPrefab drawer
This commit is contained in:
parent
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name: Copy Documentation to webserver
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on:
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push:
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branches:
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- '**'
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pull_request:
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branches:
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- '**'
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jobs:
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copy-documentation:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout repository
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uses: actions/checkout@v2
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- name: Pause for debug
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run: |
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echo "Debug container: sleeping for 300s"
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sleep 300
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- name: Install Dependencies
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run: |
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apt-get update
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apt-get install -y rsync # Install required packages
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- name: Check volume
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run: |
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mount | grep /web/nanobrain || true
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ls -la /web || true
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cat /proc/self/mounts | grep nanobrain || true
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ls -la /web/nanobrain; id; stat -c "%u:%g %n" /volume1/web/passer_life/documentation/nanobrain
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- name: Ensure destination exists
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run: |
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chown -R $USER:$USER /web/nanobrain
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- name: Copy html folder
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run: |
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find / -path '*/web/nanobrain/*'
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rsync -av --delete Documentation/html/ /web/nanobrain 2>&1
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echo $HOSTNAME
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ps aux | head
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117
Documentation/html/PasserLifeLogoLeft_300.png.meta
Normal file
117
Documentation/html/PasserLifeLogoLeft_300.png.meta
Normal file
@ -0,0 +1,117 @@
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||||
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enableMipMap: 1
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linearTexture: 0
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generateCubemap: 6
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cubemapConvolution: 0
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textureFormat: 1
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spriteGenerateFallbackPhysicsShape: 1
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buildTarget: DefaultTexturePlatform
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textureCompression: 1
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compressionQuality: 50
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crunchedCompression: 0
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allowsAlphaSplitting: 0
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buildTarget: Standalone
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textureCompression: 1
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bones: []
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@ -78,7 +78,7 @@ $(function() {
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<div class="levels">[detail level <span onclick="javascript:toggleLevel(1);">1</span><span onclick="javascript:toggleLevel(2);">2</span><span onclick="javascript:toggleLevel(3);">3</span>]</div><table class="directory">
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<tr id="row_0_" class="even"><td class="entry"><span style="width:0px;display:inline-block;"> </span><span id="arr_0_" class="arrow" onclick="toggleFolder('0_')">▼</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespace_nano_brain.html" target="_self">NanoBrain</a></td><td class="desc">The Nanobrain namespace </td></tr>
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<tr id="row_0_0_" class="odd"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_0_0_" class="arrow" onclick="toggleFolder('0_0_')">▼</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespace_nano_brain_1_1_unity.html" target="_self">Unity</a></td><td class="desc"></td></tr>
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<tr id="row_0_0_0_" class="even"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="class_nano_brain_1_1_unity_1_1_brain.html" target="_self">Brain</a></td><td class="desc">The <a class="el" href="namespace_nano_brain.html" title="The Nanobrain namespace.">NanoBrain</a> Unity Componnent </td></tr>
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<tr id="row_0_0_0_" class="even"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="class_nano_brain_1_1_unity_1_1_brain.html" target="_self">Brain</a></td><td class="desc">A <a class="el" href="namespace_nano_brain.html" title="The Nanobrain namespace.">NanoBrain</a> which can be used to control a gameobject </td></tr>
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<tr id="row_0_0_1_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="class_nano_brain_1_1_unity_1_1_cluster_prefab.html" target="_self">ClusterPrefab</a></td><td class="desc">The Unity ScriptableObject to implement re-usable Cluster Prefabs </td></tr>
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<tr id="row_0_1_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="class_nano_brain_1_1_cluster.html" target="_self">Cluster</a></td><td class="desc">A Cluster combines a collection of Nuclei to implement reusable behaviour </td></tr>
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<tr id="row_0_2_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="class_nano_brain_1_1_memory_cell.html" target="_self">MemoryCell</a></td><td class="desc">A MemoryCell stored its value for one update </td></tr>
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@ -85,6 +85,8 @@ $(function() {
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<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a6389e0e1e08f9a670958d110050d2504">_outputValue</a></td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
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<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#ab08d3adcd550750d22943d5f8a8f94a4">_outputValue</a></td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
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<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#abda2c109ffc1dc92ebde0f4802c37b1f">ActivationType</a> enum name</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
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<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a89bb3565b62b372f9a9baad1b4657fc5">Activator</a>(float3 inputValue)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
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<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca">Activator</a>(Vector3 inputValue)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
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<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a7b44b9201cb62d1778628082f10bb1d8">activator</a></td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
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||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#afd3dff2960a406f480a02db7fa351e68">ActivatorBinary</a>(float3 input)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
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<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#aff1de06241cbc2846468d82203026382">ActivatorLinear</a>(float3 input)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
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@ -101,13 +103,13 @@ $(function() {
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||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a543786edbba5dd2f46bdf48c7c64987e">AddSynapse</a>(Neuron sendingNucleus, float weight=1)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
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<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a540695e1c09734dd5790cb75e8b8f176">bias</a></td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
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||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a61ebfee9f73116bd87d641af0fd3ef57">CloneFields</a>(Neuron clone)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
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<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#ade3c65b8999bc2caea35a477a890d557">Combinator</a></td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
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||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a3f5113c3ec0e521ab24c3bdd34c5389e">Combinator</a></td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
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<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a61f71c8a24ee7a78783648b0147048a5">Combinator</a>(float3 bias, List< Synapse > synapses)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
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||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a983416d3d4382abb4ef0e4d24d99e732">Combinator</a>(Vector3 bias, List< Synapse > synapses)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
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||||
<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#adcd8e3279ab63ad98f34485b6403e0c9">combinator</a></td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
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||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#acad9a97a8f3b9df50209623e3e50bce3">CombinatorProduct</a>()</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
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||||
<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a985c9a28b445133460cee6aa23d050ea">CombinatorProduct</a>()</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
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||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#ac336222e6d6f84cfc9f4ea68b5973166">CombinatorSum</a>()</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
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||||
<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#ab7909448ce5cda39c1e786d80a38d357">CombinatorSum</a>()</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
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||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a94b65d9e945f73d7e6cebc03acd2e36f">CombinatorProduct</a>(float3 bias, List< Synapse > synapses)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">static</span></td></tr>
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<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#ab278cb03c9176522b9872b0b3460a0e0">CombinatorProduct</a>(Vector3 bias, List< Synapse > synapses)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">static</span></td></tr>
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<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a8ec8679939dad6c9ccdd39e7c2cfae04">CombinatorSum</a>(float3 bias, List< Synapse > synapses)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">static</span></td></tr>
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||||
<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a0dbc2b80fb98e5e8c219f422f2f7aa73">CombinatorSum</a>(Vector3 bias, List< Synapse > synapses)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">static</span></td></tr>
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||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a1b62779c4e520ef73e1e2afe2517d487">CombinatorType</a> enum name</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
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<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a515dbc8cdce3d6b2091228e7c6d2036f">curve</a></td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
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<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#ab24f9dd28a936f0daabebf979c933b2a">curveMax</a></td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
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@ -160,18 +160,6 @@ Public Member Functions</h2></td></tr>
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<tr class="memitem:a80905f66a0e030cfb017cb4ffa70b7d6" id="r_a80905f66a0e030cfb017cb4ffa70b7d6"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a80905f66a0e030cfb017cb4ffa70b7d6">SleepCheck</a> ()</td></tr>
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<tr class="memdesc:a80905f66a0e030cfb017cb4ffa70b7d6"><td class="mdescLeft"> </td><td class="mdescRight">Check if the neuron is sleeping. <br /></td></tr>
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<tr class="separator:a80905f66a0e030cfb017cb4ffa70b7d6"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:ac336222e6d6f84cfc9f4ea68b5973166" id="r_ac336222e6d6f84cfc9f4ea68b5973166"><td class="memItemLeft" align="right" valign="top">float3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#ac336222e6d6f84cfc9f4ea68b5973166">CombinatorSum</a> ()</td></tr>
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<tr class="memdesc:ac336222e6d6f84cfc9f4ea68b5973166"><td class="mdescLeft"> </td><td class="mdescRight">Sum the synapse outputs together. <br /></td></tr>
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<tr class="separator:ac336222e6d6f84cfc9f4ea68b5973166"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:ab7909448ce5cda39c1e786d80a38d357" id="r_ab7909448ce5cda39c1e786d80a38d357"><td class="memItemLeft" align="right" valign="top">Vector3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#ab7909448ce5cda39c1e786d80a38d357">CombinatorSum</a> ()</td></tr>
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<tr class="memdesc:ab7909448ce5cda39c1e786d80a38d357"><td class="mdescLeft"> </td><td class="mdescRight">Sum the synapse outputs together. <br /></td></tr>
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<tr class="separator:ab7909448ce5cda39c1e786d80a38d357"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:acad9a97a8f3b9df50209623e3e50bce3" id="r_acad9a97a8f3b9df50209623e3e50bce3"><td class="memItemLeft" align="right" valign="top">float3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#acad9a97a8f3b9df50209623e3e50bce3">CombinatorProduct</a> ()</td></tr>
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<tr class="memdesc:acad9a97a8f3b9df50209623e3e50bce3"><td class="mdescLeft"> </td><td class="mdescRight">Multiply the synapse outputs together. <br /></td></tr>
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<tr class="separator:acad9a97a8f3b9df50209623e3e50bce3"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a985c9a28b445133460cee6aa23d050ea" id="r_a985c9a28b445133460cee6aa23d050ea"><td class="memItemLeft" align="right" valign="top">Vector3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a985c9a28b445133460cee6aa23d050ea">CombinatorProduct</a> ()</td></tr>
|
||||
<tr class="memdesc:a985c9a28b445133460cee6aa23d050ea"><td class="mdescLeft"> </td><td class="mdescRight">Multiply the synapse outputs together. <br /></td></tr>
|
||||
<tr class="separator:a985c9a28b445133460cee6aa23d050ea"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a8aab0c6e45f7d0fc37ce401f7821e567" id="r_a8aab0c6e45f7d0fc37ce401f7821e567"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a8aab0c6e45f7d0fc37ce401f7821e567">AddReceiver</a> (<a class="el" href="class_nano_brain_1_1_nucleus.html">Nucleus</a> receiverToAdd, float weight=1)</td></tr>
|
||||
<tr class="memdesc:a8aab0c6e45f7d0fc37ce401f7821e567"><td class="mdescLeft"> </td><td class="mdescRight">Add a new receiver to this neuron. <br /></td></tr>
|
||||
<tr class="separator:a8aab0c6e45f7d0fc37ce401f7821e567"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
@ -187,6 +175,18 @@ Static Public Member Functions</h2></td></tr>
|
||||
<tr class="memitem:ad818e3b65f5eee3497ab5f53693bf7e8" id="r_ad818e3b65f5eee3497ab5f53693bf7e8"><td class="memItemLeft" align="right" valign="top">static void </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#ad818e3b65f5eee3497ab5f53693bf7e8">Delete</a> (<a class="el" href="class_nano_brain_1_1_nucleus.html">Nucleus</a> nucleus)</td></tr>
|
||||
<tr class="memdesc:ad818e3b65f5eee3497ab5f53693bf7e8"><td class="mdescLeft"> </td><td class="mdescRight">Delete the give neuron. <br /></td></tr>
|
||||
<tr class="separator:ad818e3b65f5eee3497ab5f53693bf7e8"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a8ec8679939dad6c9ccdd39e7c2cfae04" id="r_a8ec8679939dad6c9ccdd39e7c2cfae04"><td class="memItemLeft" align="right" valign="top">static float3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a8ec8679939dad6c9ccdd39e7c2cfae04">CombinatorSum</a> (float3 <a class="el" href="class_nano_brain_1_1_neuron.html#a540695e1c09734dd5790cb75e8b8f176">bias</a>, List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > <a class="el" href="class_nano_brain_1_1_neuron.html#ac77e618ae3d7d6915b86a2f8191e6327">synapses</a>)</td></tr>
|
||||
<tr class="memdesc:a8ec8679939dad6c9ccdd39e7c2cfae04"><td class="mdescLeft"> </td><td class="mdescRight">Sum the bias and synpase outputs together. <br /></td></tr>
|
||||
<tr class="separator:a8ec8679939dad6c9ccdd39e7c2cfae04"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a0dbc2b80fb98e5e8c219f422f2f7aa73" id="r_a0dbc2b80fb98e5e8c219f422f2f7aa73"><td class="memItemLeft" align="right" valign="top">static Vector3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a0dbc2b80fb98e5e8c219f422f2f7aa73">CombinatorSum</a> (Vector3 <a class="el" href="class_nano_brain_1_1_neuron.html#a540695e1c09734dd5790cb75e8b8f176">bias</a>, List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > <a class="el" href="class_nano_brain_1_1_neuron.html#ac77e618ae3d7d6915b86a2f8191e6327">synapses</a>)</td></tr>
|
||||
<tr class="memdesc:a0dbc2b80fb98e5e8c219f422f2f7aa73"><td class="mdescLeft"> </td><td class="mdescRight">Sum the bias and synpase outputs together. <br /></td></tr>
|
||||
<tr class="separator:a0dbc2b80fb98e5e8c219f422f2f7aa73"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a94b65d9e945f73d7e6cebc03acd2e36f" id="r_a94b65d9e945f73d7e6cebc03acd2e36f"><td class="memItemLeft" align="right" valign="top">static float3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a94b65d9e945f73d7e6cebc03acd2e36f">CombinatorProduct</a> (float3 <a class="el" href="class_nano_brain_1_1_neuron.html#a540695e1c09734dd5790cb75e8b8f176">bias</a>, List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > <a class="el" href="class_nano_brain_1_1_neuron.html#ac77e618ae3d7d6915b86a2f8191e6327">synapses</a>)</td></tr>
|
||||
<tr class="memdesc:a94b65d9e945f73d7e6cebc03acd2e36f"><td class="mdescLeft"> </td><td class="mdescRight">Multiply the synapse outputs together. <br /></td></tr>
|
||||
<tr class="separator:a94b65d9e945f73d7e6cebc03acd2e36f"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:ab278cb03c9176522b9872b0b3460a0e0" id="r_ab278cb03c9176522b9872b0b3460a0e0"><td class="memItemLeft" align="right" valign="top">static Vector3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#ab278cb03c9176522b9872b0b3460a0e0">CombinatorProduct</a> (Vector3 <a class="el" href="class_nano_brain_1_1_neuron.html#a540695e1c09734dd5790cb75e8b8f176">bias</a>, List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > <a class="el" href="class_nano_brain_1_1_neuron.html#ac77e618ae3d7d6915b86a2f8191e6327">synapses</a>)</td></tr>
|
||||
<tr class="memdesc:ab278cb03c9176522b9872b0b3460a0e0"><td class="mdescLeft"> </td><td class="mdescRight">Multiply the synapse outputs together. <br /></td></tr>
|
||||
<tr class="separator:ab278cb03c9176522b9872b0b3460a0e0"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
</table><table class="memberdecls">
|
||||
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-attribs" name="pub-attribs"></a>
|
||||
Public Attributes</h2></td></tr>
|
||||
@ -239,6 +239,18 @@ Protected Member Functions</h2></td></tr>
|
||||
<tr class="memitem:a61ebfee9f73116bd87d641af0fd3ef57" id="r_a61ebfee9f73116bd87d641af0fd3ef57"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a61ebfee9f73116bd87d641af0fd3ef57">CloneFields</a> (<a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a> clone)</td></tr>
|
||||
<tr class="memdesc:a61ebfee9f73116bd87d641af0fd3ef57"><td class="mdescLeft"> </td><td class="mdescRight">Copy relevant fields of this neuron to the given neuron. <br /></td></tr>
|
||||
<tr class="separator:a61ebfee9f73116bd87d641af0fd3ef57"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a61f71c8a24ee7a78783648b0147048a5" id="r_a61f71c8a24ee7a78783648b0147048a5"><td class="memItemLeft" align="right" valign="top">float3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a61f71c8a24ee7a78783648b0147048a5">Combinator</a> (float3 <a class="el" href="class_nano_brain_1_1_neuron.html#a540695e1c09734dd5790cb75e8b8f176">bias</a>, List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > <a class="el" href="class_nano_brain_1_1_neuron.html#ac77e618ae3d7d6915b86a2f8191e6327">synapses</a>)</td></tr>
|
||||
<tr class="memdesc:a61f71c8a24ee7a78783648b0147048a5"><td class="mdescLeft"> </td><td class="mdescRight">The combinator which combines the bias with the values from all synapses. <br /></td></tr>
|
||||
<tr class="separator:a61f71c8a24ee7a78783648b0147048a5"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a983416d3d4382abb4ef0e4d24d99e732" id="r_a983416d3d4382abb4ef0e4d24d99e732"><td class="memItemLeft" align="right" valign="top">Vector3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a983416d3d4382abb4ef0e4d24d99e732">Combinator</a> (Vector3 <a class="el" href="class_nano_brain_1_1_neuron.html#a540695e1c09734dd5790cb75e8b8f176">bias</a>, List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > <a class="el" href="class_nano_brain_1_1_neuron.html#ac77e618ae3d7d6915b86a2f8191e6327">synapses</a>)</td></tr>
|
||||
<tr class="memdesc:a983416d3d4382abb4ef0e4d24d99e732"><td class="mdescLeft"> </td><td class="mdescRight">The combinator which combines the bias with the values from all synapses. <br /></td></tr>
|
||||
<tr class="separator:a983416d3d4382abb4ef0e4d24d99e732"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a89bb3565b62b372f9a9baad1b4657fc5" id="r_a89bb3565b62b372f9a9baad1b4657fc5"><td class="memItemLeft" align="right" valign="top">float3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a89bb3565b62b372f9a9baad1b4657fc5">Activator</a> (float3 inputValue)</td></tr>
|
||||
<tr class="memdesc:a89bb3565b62b372f9a9baad1b4657fc5"><td class="mdescLeft"> </td><td class="mdescRight">Apply the activation function to the input. <br /></td></tr>
|
||||
<tr class="separator:a89bb3565b62b372f9a9baad1b4657fc5"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca" id="r_a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca"><td class="memItemLeft" align="right" valign="top">Vector3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca">Activator</a> (Vector3 inputValue)</td></tr>
|
||||
<tr class="memdesc:a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca"><td class="mdescLeft"> </td><td class="mdescRight">Apply the activation function to the input. <br /></td></tr>
|
||||
<tr class="separator:a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:aff1de06241cbc2846468d82203026382" id="r_aff1de06241cbc2846468d82203026382"><td class="memItemLeft" align="right" valign="top">float3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#aff1de06241cbc2846468d82203026382">ActivatorLinear</a> (float3 input)</td></tr>
|
||||
<tr class="memdesc:aff1de06241cbc2846468d82203026382"><td class="mdescLeft"> </td><td class="mdescRight">Linear activation function. <br /></td></tr>
|
||||
<tr class="separator:aff1de06241cbc2846468d82203026382"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
@ -318,14 +330,6 @@ bool </td><td class="memItemRight" valign="bottom"><b>isFiring</b><code> [g
|
||||
virtual bool </td><td class="memItemRight" valign="bottom"><b>isSleeping</b><code> [get]</code></td></tr>
|
||||
<tr class="memdesc:ae8552e9fd3b0cd45e7f672ef1d6cb11b"><td class="mdescLeft"> </td><td class="mdescRight">True when the neuron is not persisting and has not be updated for timeToSleep seconds. <br /></td></tr>
|
||||
<tr class="separator:ae8552e9fd3b0cd45e7f672ef1d6cb11b"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:ade3c65b8999bc2caea35a477a890d557" id="r_ade3c65b8999bc2caea35a477a890d557"><td class="memItemLeft" align="right" valign="top"><a id="ade3c65b8999bc2caea35a477a890d557" name="ade3c65b8999bc2caea35a477a890d557"></a>
|
||||
Func< float3 > </td><td class="memItemRight" valign="bottom"><b>Combinator</b><code> [get]</code></td></tr>
|
||||
<tr class="memdesc:ade3c65b8999bc2caea35a477a890d557"><td class="mdescLeft"> </td><td class="mdescRight">The combinator which combines the values from all synapses. <br /></td></tr>
|
||||
<tr class="separator:ade3c65b8999bc2caea35a477a890d557"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a3f5113c3ec0e521ab24c3bdd34c5389e" id="r_a3f5113c3ec0e521ab24c3bdd34c5389e"><td class="memItemLeft" align="right" valign="top"><a id="a3f5113c3ec0e521ab24c3bdd34c5389e" name="a3f5113c3ec0e521ab24c3bdd34c5389e"></a>
|
||||
Func< Vector3 > </td><td class="memItemRight" valign="bottom"><b>Combinator</b><code> [get]</code></td></tr>
|
||||
<tr class="memdesc:a3f5113c3ec0e521ab24c3bdd34c5389e"><td class="mdescLeft"> </td><td class="mdescRight">The combinator which combines the values from all synapses. <br /></td></tr>
|
||||
<tr class="separator:a3f5113c3ec0e521ab24c3bdd34c5389e"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a5310348a060db92afd9b6b5329f72723" id="r_a5310348a060db92afd9b6b5329f72723"><td class="memItemLeft" align="right" valign="top"><a id="a5310348a060db92afd9b6b5329f72723" name="a5310348a060db92afd9b6b5329f72723"></a>
|
||||
virtual List< <a class="el" href="class_nano_brain_1_1_nucleus.html">Nucleus</a> > </td><td class="memItemRight" valign="bottom"><b>receivers</b><code> [get, set]</code></td></tr>
|
||||
<tr class="memdesc:a5310348a060db92afd9b6b5329f72723"><td class="mdescLeft"> </td><td class="mdescRight">The nuclei which have a synapse to this neuron. <br /></td></tr>
|
||||
@ -722,8 +726,8 @@ virtual List< <a class="el" href="class_nano_brain_1_1_nucleus.html">Nucleus<
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<a id="ac336222e6d6f84cfc9f4ea68b5973166" name="ac336222e6d6f84cfc9f4ea68b5973166"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#ac336222e6d6f84cfc9f4ea68b5973166">◆ </a></span>CombinatorSum() <span class="overload">[1/2]</span></h2>
|
||||
<a id="a61f71c8a24ee7a78783648b0147048a5" name="a61f71c8a24ee7a78783648b0147048a5"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a61f71c8a24ee7a78783648b0147048a5">◆ </a></span>Combinator() <span class="overload">[1/2]</span></h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
@ -732,26 +736,44 @@ virtual List< <a class="el" href="class_nano_brain_1_1_nucleus.html">Nucleus<
|
||||
<td class="mlabels-left">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">float3 CombinatorSum </td>
|
||||
<td class="memname">float3 Combinator </td>
|
||||
<td>(</td>
|
||||
<td class="paramname"></td><td>)</td>
|
||||
<td class="paramtype">float3 </td>
|
||||
<td class="paramname"><em>bias</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > </td>
|
||||
<td class="paramname"><em>synapses</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</td>
|
||||
<td class="mlabels-right">
|
||||
<span class="mlabels"><span class="mlabel">inherited</span></span> </td>
|
||||
<span class="mlabels"><span class="mlabel">protected</span><span class="mlabel">inherited</span></span> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Sum the synapse outputs together. </p>
|
||||
<dl class="section return"><dt>Returns</dt><dd>The sum of the synapse outputs</dd></dl>
|
||||
<p>The combinator which combines the bias with the values from all synapses. </p>
|
||||
<dl class="params"><dt>Parameters</dt><dd>
|
||||
<table class="params">
|
||||
<tr><td class="paramname">bias</td><td>The bias of the neuron</td></tr>
|
||||
<tr><td class="paramname">synapses</td><td>The synapses of the neuron</td></tr>
|
||||
</table>
|
||||
</dd>
|
||||
</dl>
|
||||
<dl class="section return"><dt>Returns</dt><dd></dd></dl>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<a id="ab7909448ce5cda39c1e786d80a38d357" name="ab7909448ce5cda39c1e786d80a38d357"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#ab7909448ce5cda39c1e786d80a38d357">◆ </a></span>CombinatorSum() <span class="overload">[2/2]</span></h2>
|
||||
<a id="a983416d3d4382abb4ef0e4d24d99e732" name="a983416d3d4382abb4ef0e4d24d99e732"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a983416d3d4382abb4ef0e4d24d99e732">◆ </a></span>Combinator() <span class="overload">[2/2]</span></h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
@ -760,26 +782,44 @@ virtual List< <a class="el" href="class_nano_brain_1_1_nucleus.html">Nucleus<
|
||||
<td class="mlabels-left">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">Vector3 CombinatorSum </td>
|
||||
<td class="memname">Vector3 Combinator </td>
|
||||
<td>(</td>
|
||||
<td class="paramname"></td><td>)</td>
|
||||
<td class="paramtype">Vector3 </td>
|
||||
<td class="paramname"><em>bias</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > </td>
|
||||
<td class="paramname"><em>synapses</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</td>
|
||||
<td class="mlabels-right">
|
||||
<span class="mlabels"><span class="mlabel">inherited</span></span> </td>
|
||||
<span class="mlabels"><span class="mlabel">protected</span><span class="mlabel">inherited</span></span> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Sum the synapse outputs together. </p>
|
||||
<dl class="section return"><dt>Returns</dt><dd>The sum of the synapse outputs</dd></dl>
|
||||
<p>The combinator which combines the bias with the values from all synapses. </p>
|
||||
<dl class="params"><dt>Parameters</dt><dd>
|
||||
<table class="params">
|
||||
<tr><td class="paramname">bias</td><td>The bias of the neuron</td></tr>
|
||||
<tr><td class="paramname">synapses</td><td>The synapses of the neuron</td></tr>
|
||||
</table>
|
||||
</dd>
|
||||
</dl>
|
||||
<dl class="section return"><dt>Returns</dt><dd></dd></dl>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<a id="acad9a97a8f3b9df50209623e3e50bce3" name="acad9a97a8f3b9df50209623e3e50bce3"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#acad9a97a8f3b9df50209623e3e50bce3">◆ </a></span>CombinatorProduct() <span class="overload">[1/2]</span></h2>
|
||||
<a id="a8ec8679939dad6c9ccdd39e7c2cfae04" name="a8ec8679939dad6c9ccdd39e7c2cfae04"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a8ec8679939dad6c9ccdd39e7c2cfae04">◆ </a></span>CombinatorSum() <span class="overload">[1/2]</span></h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
@ -788,26 +828,136 @@ virtual List< <a class="el" href="class_nano_brain_1_1_nucleus.html">Nucleus<
|
||||
<td class="mlabels-left">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">float3 CombinatorProduct </td>
|
||||
<td class="memname">static float3 CombinatorSum </td>
|
||||
<td>(</td>
|
||||
<td class="paramname"></td><td>)</td>
|
||||
<td class="paramtype">float3 </td>
|
||||
<td class="paramname"><em>bias</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > </td>
|
||||
<td class="paramname"><em>synapses</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</td>
|
||||
<td class="mlabels-right">
|
||||
<span class="mlabels"><span class="mlabel">inherited</span></span> </td>
|
||||
<span class="mlabels"><span class="mlabel">static</span><span class="mlabel">inherited</span></span> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Sum the bias and synpase outputs together. </p>
|
||||
<dl class="params"><dt>Parameters</dt><dd>
|
||||
<table class="params">
|
||||
<tr><td class="paramname">bias</td><td>The bias of the neuron</td></tr>
|
||||
<tr><td class="paramname">synapses</td><td>The synapses of the neuron</td></tr>
|
||||
</table>
|
||||
</dd>
|
||||
</dl>
|
||||
<dl class="section return"><dt>Returns</dt><dd></dd></dl>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<a id="a0dbc2b80fb98e5e8c219f422f2f7aa73" name="a0dbc2b80fb98e5e8c219f422f2f7aa73"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a0dbc2b80fb98e5e8c219f422f2f7aa73">◆ </a></span>CombinatorSum() <span class="overload">[2/2]</span></h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="mlabels">
|
||||
<tr>
|
||||
<td class="mlabels-left">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">static Vector3 CombinatorSum </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype">Vector3 </td>
|
||||
<td class="paramname"><em>bias</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > </td>
|
||||
<td class="paramname"><em>synapses</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</td>
|
||||
<td class="mlabels-right">
|
||||
<span class="mlabels"><span class="mlabel">static</span><span class="mlabel">inherited</span></span> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Sum the bias and synpase outputs together. </p>
|
||||
<dl class="params"><dt>Parameters</dt><dd>
|
||||
<table class="params">
|
||||
<tr><td class="paramname">bias</td><td>The bias of the neuron</td></tr>
|
||||
<tr><td class="paramname">synapses</td><td>The synapses of the neuron</td></tr>
|
||||
</table>
|
||||
</dd>
|
||||
</dl>
|
||||
<dl class="section return"><dt>Returns</dt><dd></dd></dl>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<a id="a94b65d9e945f73d7e6cebc03acd2e36f" name="a94b65d9e945f73d7e6cebc03acd2e36f"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a94b65d9e945f73d7e6cebc03acd2e36f">◆ </a></span>CombinatorProduct() <span class="overload">[1/2]</span></h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="mlabels">
|
||||
<tr>
|
||||
<td class="mlabels-left">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">static float3 CombinatorProduct </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype">float3 </td>
|
||||
<td class="paramname"><em>bias</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > </td>
|
||||
<td class="paramname"><em>synapses</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</td>
|
||||
<td class="mlabels-right">
|
||||
<span class="mlabels"><span class="mlabel">static</span><span class="mlabel">inherited</span></span> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Multiply the synapse outputs together. </p>
|
||||
<dl class="section return"><dt>Returns</dt><dd>The mutliplcation of the synapse outputs</dd></dl>
|
||||
<dl class="params"><dt>Parameters</dt><dd>
|
||||
<table class="params">
|
||||
<tr><td class="paramname">bias</td><td>The bias of the neuron</td></tr>
|
||||
<tr><td class="paramname">synapses</td><td>The synapses of the neuron</td></tr>
|
||||
</table>
|
||||
</dd>
|
||||
</dl>
|
||||
<dl class="section return"><dt>Returns</dt><dd>The result of the multiplication</dd></dl>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<a id="a985c9a28b445133460cee6aa23d050ea" name="a985c9a28b445133460cee6aa23d050ea"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a985c9a28b445133460cee6aa23d050ea">◆ </a></span>CombinatorProduct() <span class="overload">[2/2]</span></h2>
|
||||
<a id="ab278cb03c9176522b9872b0b3460a0e0" name="ab278cb03c9176522b9872b0b3460a0e0"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#ab278cb03c9176522b9872b0b3460a0e0">◆ </a></span>CombinatorProduct() <span class="overload">[2/2]</span></h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
@ -816,21 +966,109 @@ virtual List< <a class="el" href="class_nano_brain_1_1_nucleus.html">Nucleus<
|
||||
<td class="mlabels-left">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">Vector3 CombinatorProduct </td>
|
||||
<td class="memname">static Vector3 CombinatorProduct </td>
|
||||
<td>(</td>
|
||||
<td class="paramname"></td><td>)</td>
|
||||
<td class="paramtype">Vector3 </td>
|
||||
<td class="paramname"><em>bias</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > </td>
|
||||
<td class="paramname"><em>synapses</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</td>
|
||||
<td class="mlabels-right">
|
||||
<span class="mlabels"><span class="mlabel">inherited</span></span> </td>
|
||||
<span class="mlabels"><span class="mlabel">static</span><span class="mlabel">inherited</span></span> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Multiply the synapse outputs together. </p>
|
||||
<dl class="section return"><dt>Returns</dt><dd>The mutliplcation of the synapse outputs</dd></dl>
|
||||
<dl class="params"><dt>Parameters</dt><dd>
|
||||
<table class="params">
|
||||
<tr><td class="paramname">bias</td><td>The bias of the neuron</td></tr>
|
||||
<tr><td class="paramname">synapses</td><td>The synapses of the neuron</td></tr>
|
||||
</table>
|
||||
</dd>
|
||||
</dl>
|
||||
<dl class="section return"><dt>Returns</dt><dd>The result of the multiplication</dd></dl>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<a id="a89bb3565b62b372f9a9baad1b4657fc5" name="a89bb3565b62b372f9a9baad1b4657fc5"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a89bb3565b62b372f9a9baad1b4657fc5">◆ </a></span>Activator() <span class="overload">[1/2]</span></h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="mlabels">
|
||||
<tr>
|
||||
<td class="mlabels-left">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">float3 Activator </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype">float3 </td>
|
||||
<td class="paramname"><em>inputValue</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</td>
|
||||
<td class="mlabels-right">
|
||||
<span class="mlabels"><span class="mlabel">protected</span><span class="mlabel">inherited</span></span> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Apply the activation function to the input. </p>
|
||||
<dl class="params"><dt>Parameters</dt><dd>
|
||||
<table class="params">
|
||||
<tr><td class="paramname">inputValue</td><td></td></tr>
|
||||
</table>
|
||||
</dd>
|
||||
</dl>
|
||||
<dl class="section return"><dt>Returns</dt><dd>The result of applying the activation function</dd></dl>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<a id="a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca" name="a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca">◆ </a></span>Activator() <span class="overload">[2/2]</span></h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="mlabels">
|
||||
<tr>
|
||||
<td class="mlabels-left">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">Vector3 Activator </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype">Vector3 </td>
|
||||
<td class="paramname"><em>inputValue</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</td>
|
||||
<td class="mlabels-right">
|
||||
<span class="mlabels"><span class="mlabel">protected</span><span class="mlabel">inherited</span></span> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Apply the activation function to the input. </p>
|
||||
<dl class="params"><dt>Parameters</dt><dd>
|
||||
<table class="params">
|
||||
<tr><td class="paramname">inputValue</td><td></td></tr>
|
||||
</table>
|
||||
</dd>
|
||||
</dl>
|
||||
<dl class="section return"><dt>Returns</dt><dd>The result of applying the activation function</dd></dl>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@ -85,6 +85,8 @@ $(function() {
|
||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a6389e0e1e08f9a670958d110050d2504">_outputValue</a></td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
|
||||
<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#ab08d3adcd550750d22943d5f8a8f94a4">_outputValue</a></td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
|
||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#abda2c109ffc1dc92ebde0f4802c37b1f">ActivationType</a> enum name</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
|
||||
<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a89bb3565b62b372f9a9baad1b4657fc5">Activator</a>(float3 inputValue)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
|
||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca">Activator</a>(Vector3 inputValue)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
|
||||
<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a7b44b9201cb62d1778628082f10bb1d8">activator</a></td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
|
||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#afd3dff2960a406f480a02db7fa351e68">ActivatorBinary</a>(float3 input)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
|
||||
<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#aff1de06241cbc2846468d82203026382">ActivatorLinear</a>(float3 input)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
|
||||
@ -102,12 +104,12 @@ $(function() {
|
||||
<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a540695e1c09734dd5790cb75e8b8f176">bias</a></td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
|
||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a61ebfee9f73116bd87d641af0fd3ef57">CloneFields</a>(Neuron clone)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
|
||||
<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#adcd8e3279ab63ad98f34485b6403e0c9">combinator</a></td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
|
||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#ade3c65b8999bc2caea35a477a890d557">Combinator</a></td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
|
||||
<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a3f5113c3ec0e521ab24c3bdd34c5389e">Combinator</a></td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
|
||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#acad9a97a8f3b9df50209623e3e50bce3">CombinatorProduct</a>()</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
|
||||
<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a985c9a28b445133460cee6aa23d050ea">CombinatorProduct</a>()</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
|
||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#ac336222e6d6f84cfc9f4ea68b5973166">CombinatorSum</a>()</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
|
||||
<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#ab7909448ce5cda39c1e786d80a38d357">CombinatorSum</a>()</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
|
||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a61f71c8a24ee7a78783648b0147048a5">Combinator</a>(float3 bias, List< Synapse > synapses)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
|
||||
<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a983416d3d4382abb4ef0e4d24d99e732">Combinator</a>(Vector3 bias, List< Synapse > synapses)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
|
||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a94b65d9e945f73d7e6cebc03acd2e36f">CombinatorProduct</a>(float3 bias, List< Synapse > synapses)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">static</span></td></tr>
|
||||
<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#ab278cb03c9176522b9872b0b3460a0e0">CombinatorProduct</a>(Vector3 bias, List< Synapse > synapses)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">static</span></td></tr>
|
||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a8ec8679939dad6c9ccdd39e7c2cfae04">CombinatorSum</a>(float3 bias, List< Synapse > synapses)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">static</span></td></tr>
|
||||
<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a0dbc2b80fb98e5e8c219f422f2f7aa73">CombinatorSum</a>(Vector3 bias, List< Synapse > synapses)</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"><span class="mlabel">static</span></td></tr>
|
||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a1b62779c4e520ef73e1e2afe2517d487">CombinatorType</a> enum name</td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
|
||||
<tr class="even"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#a515dbc8cdce3d6b2091228e7c6d2036f">curve</a></td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
|
||||
<tr class="odd"><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html#ab24f9dd28a936f0daabebf979c933b2a">curveMax</a></td><td class="entry"><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a></td><td class="entry"></td></tr>
|
||||
|
||||
@ -90,6 +90,11 @@ $(function() {
|
||||
<div class="contents">
|
||||
<a name="details" id="details"></a><h2 class="groupheader">Description</h2>
|
||||
<div class="textblock"><p>A neuron is a basic Nucleus. </p>
|
||||
<p>A neuron combines the weighted input from other neurons and applies an activation function to it to compute the output value: </p><div class="fragment"><div class="line">Vector3 combination = <a class="code hl_function" href="class_nano_brain_1_1_neuron.html#a61f71c8a24ee7a78783648b0147048a5">NanoBrain::Neuron::Combinator</a>(bias, synapses);</div>
|
||||
<div class="line">Vector3 output = <a class="code hl_function" href="class_nano_brain_1_1_neuron.html#a89bb3565b62b372f9a9baad1b4657fc5">NanoBrain::Neuron::Activator</a>(combination);</div>
|
||||
<div class="ttc" id="aclass_nano_brain_1_1_neuron_html_a61f71c8a24ee7a78783648b0147048a5"><div class="ttname"><a href="class_nano_brain_1_1_neuron.html#a61f71c8a24ee7a78783648b0147048a5">NanoBrain.Neuron.Combinator</a></div><div class="ttdeci">float3 Combinator(float3 bias, List< Synapse > synapses)</div><div class="ttdoc">The combinator which combines the bias with the values from all synapses.</div><div class="ttdef"><b>Definition</b> Neuron.cs:463</div></div>
|
||||
<div class="ttc" id="aclass_nano_brain_1_1_neuron_html_a89bb3565b62b372f9a9baad1b4657fc5"><div class="ttname"><a href="class_nano_brain_1_1_neuron.html#a89bb3565b62b372f9a9baad1b4657fc5">NanoBrain.Neuron.Activator</a></div><div class="ttdeci">float3 Activator(float3 inputValue)</div><div class="ttdoc">Apply the activation function to the input.</div><div class="ttdef"><b>Definition</b> Neuron.cs:560</div></div>
|
||||
</div><!-- fragment --><p> The synapses are connections to other neurons. Each connection has a weight which is used to multiply the output of that other neuron before it is used by the combinator. </p>
|
||||
</div><div class="dynheader">
|
||||
Inheritance diagram for Neuron:</div>
|
||||
<div class="dyncontent">
|
||||
@ -165,18 +170,6 @@ Public Member Functions</h2></td></tr>
|
||||
<tr class="memitem:a6423c493fd76f1774a8e80c56d8c5cdc" id="r_a6423c493fd76f1774a8e80c56d8c5cdc"><td class="memItemLeft" align="right" valign="top">override void </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a6423c493fd76f1774a8e80c56d8c5cdc">UpdateStateIsolated</a> ()</td></tr>
|
||||
<tr class="memdesc:a6423c493fd76f1774a8e80c56d8c5cdc"><td class="mdescLeft"> </td><td class="mdescRight">Update the state without updating other Nuclei. <br /></td></tr>
|
||||
<tr class="separator:a6423c493fd76f1774a8e80c56d8c5cdc"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:ac336222e6d6f84cfc9f4ea68b5973166" id="r_ac336222e6d6f84cfc9f4ea68b5973166"><td class="memItemLeft" align="right" valign="top">float3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#ac336222e6d6f84cfc9f4ea68b5973166">CombinatorSum</a> ()</td></tr>
|
||||
<tr class="memdesc:ac336222e6d6f84cfc9f4ea68b5973166"><td class="mdescLeft"> </td><td class="mdescRight">Sum the synapse outputs together. <br /></td></tr>
|
||||
<tr class="separator:ac336222e6d6f84cfc9f4ea68b5973166"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:acad9a97a8f3b9df50209623e3e50bce3" id="r_acad9a97a8f3b9df50209623e3e50bce3"><td class="memItemLeft" align="right" valign="top">float3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#acad9a97a8f3b9df50209623e3e50bce3">CombinatorProduct</a> ()</td></tr>
|
||||
<tr class="memdesc:acad9a97a8f3b9df50209623e3e50bce3"><td class="mdescLeft"> </td><td class="mdescRight">Multiply the synapse outputs together. <br /></td></tr>
|
||||
<tr class="separator:acad9a97a8f3b9df50209623e3e50bce3"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:ab7909448ce5cda39c1e786d80a38d357" id="r_ab7909448ce5cda39c1e786d80a38d357"><td class="memItemLeft" align="right" valign="top">Vector3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#ab7909448ce5cda39c1e786d80a38d357">CombinatorSum</a> ()</td></tr>
|
||||
<tr class="memdesc:ab7909448ce5cda39c1e786d80a38d357"><td class="mdescLeft"> </td><td class="mdescRight">Sum the synapse outputs together. <br /></td></tr>
|
||||
<tr class="separator:ab7909448ce5cda39c1e786d80a38d357"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a985c9a28b445133460cee6aa23d050ea" id="r_a985c9a28b445133460cee6aa23d050ea"><td class="memItemLeft" align="right" valign="top">Vector3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a985c9a28b445133460cee6aa23d050ea">CombinatorProduct</a> ()</td></tr>
|
||||
<tr class="memdesc:a985c9a28b445133460cee6aa23d050ea"><td class="mdescLeft"> </td><td class="mdescRight">Multiply the synapse outputs together. <br /></td></tr>
|
||||
<tr class="separator:a985c9a28b445133460cee6aa23d050ea"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a8aab0c6e45f7d0fc37ce401f7821e567" id="r_a8aab0c6e45f7d0fc37ce401f7821e567"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a8aab0c6e45f7d0fc37ce401f7821e567">AddReceiver</a> (<a class="el" href="class_nano_brain_1_1_nucleus.html">Nucleus</a> receiverToAdd, float weight=1)</td></tr>
|
||||
<tr class="memdesc:a8aab0c6e45f7d0fc37ce401f7821e567"><td class="mdescLeft"> </td><td class="mdescRight">Add a new receiver to this neuron. <br /></td></tr>
|
||||
<tr class="separator:a8aab0c6e45f7d0fc37ce401f7821e567"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
@ -192,6 +185,18 @@ Static Public Member Functions</h2></td></tr>
|
||||
<tr class="memitem:ad818e3b65f5eee3497ab5f53693bf7e8" id="r_ad818e3b65f5eee3497ab5f53693bf7e8"><td class="memItemLeft" align="right" valign="top">static void </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#ad818e3b65f5eee3497ab5f53693bf7e8">Delete</a> (<a class="el" href="class_nano_brain_1_1_nucleus.html">Nucleus</a> nucleus)</td></tr>
|
||||
<tr class="memdesc:ad818e3b65f5eee3497ab5f53693bf7e8"><td class="mdescLeft"> </td><td class="mdescRight">Delete the give neuron. <br /></td></tr>
|
||||
<tr class="separator:ad818e3b65f5eee3497ab5f53693bf7e8"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a8ec8679939dad6c9ccdd39e7c2cfae04" id="r_a8ec8679939dad6c9ccdd39e7c2cfae04"><td class="memItemLeft" align="right" valign="top">static float3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a8ec8679939dad6c9ccdd39e7c2cfae04">CombinatorSum</a> (float3 <a class="el" href="class_nano_brain_1_1_neuron.html#a540695e1c09734dd5790cb75e8b8f176">bias</a>, List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > <a class="el" href="class_nano_brain_1_1_neuron.html#ac77e618ae3d7d6915b86a2f8191e6327">synapses</a>)</td></tr>
|
||||
<tr class="memdesc:a8ec8679939dad6c9ccdd39e7c2cfae04"><td class="mdescLeft"> </td><td class="mdescRight">Sum the bias and synpase outputs together. <br /></td></tr>
|
||||
<tr class="separator:a8ec8679939dad6c9ccdd39e7c2cfae04"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a94b65d9e945f73d7e6cebc03acd2e36f" id="r_a94b65d9e945f73d7e6cebc03acd2e36f"><td class="memItemLeft" align="right" valign="top">static float3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a94b65d9e945f73d7e6cebc03acd2e36f">CombinatorProduct</a> (float3 <a class="el" href="class_nano_brain_1_1_neuron.html#a540695e1c09734dd5790cb75e8b8f176">bias</a>, List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > <a class="el" href="class_nano_brain_1_1_neuron.html#ac77e618ae3d7d6915b86a2f8191e6327">synapses</a>)</td></tr>
|
||||
<tr class="memdesc:a94b65d9e945f73d7e6cebc03acd2e36f"><td class="mdescLeft"> </td><td class="mdescRight">Multiply the synapse outputs together. <br /></td></tr>
|
||||
<tr class="separator:a94b65d9e945f73d7e6cebc03acd2e36f"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a0dbc2b80fb98e5e8c219f422f2f7aa73" id="r_a0dbc2b80fb98e5e8c219f422f2f7aa73"><td class="memItemLeft" align="right" valign="top">static Vector3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a0dbc2b80fb98e5e8c219f422f2f7aa73">CombinatorSum</a> (Vector3 <a class="el" href="class_nano_brain_1_1_neuron.html#a540695e1c09734dd5790cb75e8b8f176">bias</a>, List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > <a class="el" href="class_nano_brain_1_1_neuron.html#ac77e618ae3d7d6915b86a2f8191e6327">synapses</a>)</td></tr>
|
||||
<tr class="memdesc:a0dbc2b80fb98e5e8c219f422f2f7aa73"><td class="mdescLeft"> </td><td class="mdescRight">Sum the bias and synpase outputs together. <br /></td></tr>
|
||||
<tr class="separator:a0dbc2b80fb98e5e8c219f422f2f7aa73"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:ab278cb03c9176522b9872b0b3460a0e0" id="r_ab278cb03c9176522b9872b0b3460a0e0"><td class="memItemLeft" align="right" valign="top">static Vector3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#ab278cb03c9176522b9872b0b3460a0e0">CombinatorProduct</a> (Vector3 <a class="el" href="class_nano_brain_1_1_neuron.html#a540695e1c09734dd5790cb75e8b8f176">bias</a>, List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > <a class="el" href="class_nano_brain_1_1_neuron.html#ac77e618ae3d7d6915b86a2f8191e6327">synapses</a>)</td></tr>
|
||||
<tr class="memdesc:ab278cb03c9176522b9872b0b3460a0e0"><td class="mdescLeft"> </td><td class="mdescRight">Multiply the synapse outputs together. <br /></td></tr>
|
||||
<tr class="separator:ab278cb03c9176522b9872b0b3460a0e0"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
</table><table class="memberdecls">
|
||||
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-attribs" name="pub-attribs"></a>
|
||||
Public Attributes</h2></td></tr>
|
||||
@ -244,6 +249,15 @@ Protected Member Functions</h2></td></tr>
|
||||
<tr class="memitem:a61ebfee9f73116bd87d641af0fd3ef57" id="r_a61ebfee9f73116bd87d641af0fd3ef57"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a61ebfee9f73116bd87d641af0fd3ef57">CloneFields</a> (<a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a> clone)</td></tr>
|
||||
<tr class="memdesc:a61ebfee9f73116bd87d641af0fd3ef57"><td class="mdescLeft"> </td><td class="mdescRight">Copy relevant fields of this neuron to the given neuron. <br /></td></tr>
|
||||
<tr class="separator:a61ebfee9f73116bd87d641af0fd3ef57"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a61f71c8a24ee7a78783648b0147048a5" id="r_a61f71c8a24ee7a78783648b0147048a5"><td class="memItemLeft" align="right" valign="top">float3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a61f71c8a24ee7a78783648b0147048a5">Combinator</a> (float3 <a class="el" href="class_nano_brain_1_1_neuron.html#a540695e1c09734dd5790cb75e8b8f176">bias</a>, List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > <a class="el" href="class_nano_brain_1_1_neuron.html#ac77e618ae3d7d6915b86a2f8191e6327">synapses</a>)</td></tr>
|
||||
<tr class="memdesc:a61f71c8a24ee7a78783648b0147048a5"><td class="mdescLeft"> </td><td class="mdescRight">The combinator which combines the bias with the values from all synapses. <br /></td></tr>
|
||||
<tr class="separator:a61f71c8a24ee7a78783648b0147048a5"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a983416d3d4382abb4ef0e4d24d99e732" id="r_a983416d3d4382abb4ef0e4d24d99e732"><td class="memItemLeft" align="right" valign="top">Vector3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a983416d3d4382abb4ef0e4d24d99e732">Combinator</a> (Vector3 <a class="el" href="class_nano_brain_1_1_neuron.html#a540695e1c09734dd5790cb75e8b8f176">bias</a>, List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > <a class="el" href="class_nano_brain_1_1_neuron.html#ac77e618ae3d7d6915b86a2f8191e6327">synapses</a>)</td></tr>
|
||||
<tr class="memdesc:a983416d3d4382abb4ef0e4d24d99e732"><td class="mdescLeft"> </td><td class="mdescRight">The combinator which combines the bias with the values from all synapses. <br /></td></tr>
|
||||
<tr class="separator:a983416d3d4382abb4ef0e4d24d99e732"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a89bb3565b62b372f9a9baad1b4657fc5" id="r_a89bb3565b62b372f9a9baad1b4657fc5"><td class="memItemLeft" align="right" valign="top">float3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a89bb3565b62b372f9a9baad1b4657fc5">Activator</a> (float3 inputValue)</td></tr>
|
||||
<tr class="memdesc:a89bb3565b62b372f9a9baad1b4657fc5"><td class="mdescLeft"> </td><td class="mdescRight">Apply the activation function to the input. <br /></td></tr>
|
||||
<tr class="separator:a89bb3565b62b372f9a9baad1b4657fc5"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:aff1de06241cbc2846468d82203026382" id="r_aff1de06241cbc2846468d82203026382"><td class="memItemLeft" align="right" valign="top">float3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#aff1de06241cbc2846468d82203026382">ActivatorLinear</a> (float3 input)</td></tr>
|
||||
<tr class="memdesc:aff1de06241cbc2846468d82203026382"><td class="mdescLeft"> </td><td class="mdescRight">Linear activation function. <br /></td></tr>
|
||||
<tr class="separator:aff1de06241cbc2846468d82203026382"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
@ -265,6 +279,9 @@ Protected Member Functions</h2></td></tr>
|
||||
<tr class="memitem:a115176d819f6eaa624803c2ee3770f32" id="r_a115176d819f6eaa624803c2ee3770f32"><td class="memItemLeft" align="right" valign="top">float3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a115176d819f6eaa624803c2ee3770f32">ActivatorNormalized</a> (float3 input)</td></tr>
|
||||
<tr class="memdesc:a115176d819f6eaa624803c2ee3770f32"><td class="mdescLeft"> </td><td class="mdescRight">Normalize activation function. <br /></td></tr>
|
||||
<tr class="separator:a115176d819f6eaa624803c2ee3770f32"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca" id="r_a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca"><td class="memItemLeft" align="right" valign="top">Vector3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca">Activator</a> (Vector3 inputValue)</td></tr>
|
||||
<tr class="memdesc:a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca"><td class="mdescLeft"> </td><td class="mdescRight">Apply the activation function to the input. <br /></td></tr>
|
||||
<tr class="separator:a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a337e53a6f6aae4d31dc5c5a5d4359213" id="r_a337e53a6f6aae4d31dc5c5a5d4359213"><td class="memItemLeft" align="right" valign="top">Vector3 </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_neuron.html#a337e53a6f6aae4d31dc5c5a5d4359213">ActivatorLinear</a> (Vector3 input)</td></tr>
|
||||
<tr class="memdesc:a337e53a6f6aae4d31dc5c5a5d4359213"><td class="mdescLeft"> </td><td class="mdescRight">Linear activation function. <br /></td></tr>
|
||||
<tr class="separator:a337e53a6f6aae4d31dc5c5a5d4359213"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
@ -323,14 +340,6 @@ bool </td><td class="memItemRight" valign="bottom"><b>isFiring</b><code> [g
|
||||
virtual bool </td><td class="memItemRight" valign="bottom"><b>isSleeping</b><code> [get]</code></td></tr>
|
||||
<tr class="memdesc:ae8552e9fd3b0cd45e7f672ef1d6cb11b"><td class="mdescLeft"> </td><td class="mdescRight">True when the neuron is not persisting and has not be updated for timeToSleep seconds. <br /></td></tr>
|
||||
<tr class="separator:ae8552e9fd3b0cd45e7f672ef1d6cb11b"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:ade3c65b8999bc2caea35a477a890d557" id="r_ade3c65b8999bc2caea35a477a890d557"><td class="memItemLeft" align="right" valign="top"><a id="ade3c65b8999bc2caea35a477a890d557" name="ade3c65b8999bc2caea35a477a890d557"></a>
|
||||
Func< float3 > </td><td class="memItemRight" valign="bottom"><b>Combinator</b><code> [get]</code></td></tr>
|
||||
<tr class="memdesc:ade3c65b8999bc2caea35a477a890d557"><td class="mdescLeft"> </td><td class="mdescRight">The combinator which combines the values from all synapses. <br /></td></tr>
|
||||
<tr class="separator:ade3c65b8999bc2caea35a477a890d557"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a3f5113c3ec0e521ab24c3bdd34c5389e" id="r_a3f5113c3ec0e521ab24c3bdd34c5389e"><td class="memItemLeft" align="right" valign="top"><a id="a3f5113c3ec0e521ab24c3bdd34c5389e" name="a3f5113c3ec0e521ab24c3bdd34c5389e"></a>
|
||||
Func< Vector3 > </td><td class="memItemRight" valign="bottom"><b>Combinator</b><code> [get]</code></td></tr>
|
||||
<tr class="memdesc:a3f5113c3ec0e521ab24c3bdd34c5389e"><td class="mdescLeft"> </td><td class="mdescRight">The combinator which combines the values from all synapses. <br /></td></tr>
|
||||
<tr class="separator:a3f5113c3ec0e521ab24c3bdd34c5389e"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a5310348a060db92afd9b6b5329f72723" id="r_a5310348a060db92afd9b6b5329f72723"><td class="memItemLeft" align="right" valign="top"><a id="a5310348a060db92afd9b6b5329f72723" name="a5310348a060db92afd9b6b5329f72723"></a>
|
||||
virtual List< <a class="el" href="class_nano_brain_1_1_nucleus.html">Nucleus</a> > </td><td class="memItemRight" valign="bottom"><b>receivers</b><code> [get, set]</code></td></tr>
|
||||
<tr class="memdesc:a5310348a060db92afd9b6b5329f72723"><td class="mdescLeft"> </td><td class="mdescRight">The nuclei which have a synapse to this neuron. <br /></td></tr>
|
||||
@ -679,83 +688,314 @@ virtual List< <a class="el" href="class_nano_brain_1_1_nucleus.html">Nucleus<
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<a id="ac336222e6d6f84cfc9f4ea68b5973166" name="ac336222e6d6f84cfc9f4ea68b5973166"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#ac336222e6d6f84cfc9f4ea68b5973166">◆ </a></span>CombinatorSum() <span class="overload">[1/2]</span></h2>
|
||||
<a id="a61f71c8a24ee7a78783648b0147048a5" name="a61f71c8a24ee7a78783648b0147048a5"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a61f71c8a24ee7a78783648b0147048a5">◆ </a></span>Combinator() <span class="overload">[1/2]</span></h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="mlabels">
|
||||
<tr>
|
||||
<td class="mlabels-left">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">float3 CombinatorSum </td>
|
||||
<td class="memname">float3 Combinator </td>
|
||||
<td>(</td>
|
||||
<td class="paramname"></td><td>)</td>
|
||||
<td class="paramtype">float3 </td>
|
||||
<td class="paramname"><em>bias</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > </td>
|
||||
<td class="paramname"><em>synapses</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</td>
|
||||
<td class="mlabels-right">
|
||||
<span class="mlabels"><span class="mlabel">protected</span></span> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Sum the synapse outputs together. </p>
|
||||
<dl class="section return"><dt>Returns</dt><dd>The sum of the synapse outputs</dd></dl>
|
||||
<p>The combinator which combines the bias with the values from all synapses. </p>
|
||||
<dl class="params"><dt>Parameters</dt><dd>
|
||||
<table class="params">
|
||||
<tr><td class="paramname">bias</td><td>The bias of the neuron</td></tr>
|
||||
<tr><td class="paramname">synapses</td><td>The synapses of the neuron</td></tr>
|
||||
</table>
|
||||
</dd>
|
||||
</dl>
|
||||
<dl class="section return"><dt>Returns</dt><dd></dd></dl>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<a id="acad9a97a8f3b9df50209623e3e50bce3" name="acad9a97a8f3b9df50209623e3e50bce3"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#acad9a97a8f3b9df50209623e3e50bce3">◆ </a></span>CombinatorProduct() <span class="overload">[1/2]</span></h2>
|
||||
<a id="a8ec8679939dad6c9ccdd39e7c2cfae04" name="a8ec8679939dad6c9ccdd39e7c2cfae04"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a8ec8679939dad6c9ccdd39e7c2cfae04">◆ </a></span>CombinatorSum() <span class="overload">[1/2]</span></h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="mlabels">
|
||||
<tr>
|
||||
<td class="mlabels-left">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">float3 CombinatorProduct </td>
|
||||
<td class="memname">static float3 CombinatorSum </td>
|
||||
<td>(</td>
|
||||
<td class="paramname"></td><td>)</td>
|
||||
<td class="paramtype">float3 </td>
|
||||
<td class="paramname"><em>bias</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > </td>
|
||||
<td class="paramname"><em>synapses</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</td>
|
||||
<td class="mlabels-right">
|
||||
<span class="mlabels"><span class="mlabel">static</span></span> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Sum the bias and synpase outputs together. </p>
|
||||
<dl class="params"><dt>Parameters</dt><dd>
|
||||
<table class="params">
|
||||
<tr><td class="paramname">bias</td><td>The bias of the neuron</td></tr>
|
||||
<tr><td class="paramname">synapses</td><td>The synapses of the neuron</td></tr>
|
||||
</table>
|
||||
</dd>
|
||||
</dl>
|
||||
<dl class="section return"><dt>Returns</dt><dd></dd></dl>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<a id="a94b65d9e945f73d7e6cebc03acd2e36f" name="a94b65d9e945f73d7e6cebc03acd2e36f"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a94b65d9e945f73d7e6cebc03acd2e36f">◆ </a></span>CombinatorProduct() <span class="overload">[1/2]</span></h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="mlabels">
|
||||
<tr>
|
||||
<td class="mlabels-left">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">static float3 CombinatorProduct </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype">float3 </td>
|
||||
<td class="paramname"><em>bias</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > </td>
|
||||
<td class="paramname"><em>synapses</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</td>
|
||||
<td class="mlabels-right">
|
||||
<span class="mlabels"><span class="mlabel">static</span></span> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Multiply the synapse outputs together. </p>
|
||||
<dl class="section return"><dt>Returns</dt><dd>The mutliplcation of the synapse outputs</dd></dl>
|
||||
<dl class="params"><dt>Parameters</dt><dd>
|
||||
<table class="params">
|
||||
<tr><td class="paramname">bias</td><td>The bias of the neuron</td></tr>
|
||||
<tr><td class="paramname">synapses</td><td>The synapses of the neuron</td></tr>
|
||||
</table>
|
||||
</dd>
|
||||
</dl>
|
||||
<dl class="section return"><dt>Returns</dt><dd>The result of the multiplication</dd></dl>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<a id="ab7909448ce5cda39c1e786d80a38d357" name="ab7909448ce5cda39c1e786d80a38d357"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#ab7909448ce5cda39c1e786d80a38d357">◆ </a></span>CombinatorSum() <span class="overload">[2/2]</span></h2>
|
||||
<a id="a983416d3d4382abb4ef0e4d24d99e732" name="a983416d3d4382abb4ef0e4d24d99e732"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a983416d3d4382abb4ef0e4d24d99e732">◆ </a></span>Combinator() <span class="overload">[2/2]</span></h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
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|
||||
<tr>
|
||||
<td class="mlabels-left">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">Vector3 CombinatorSum </td>
|
||||
<td class="memname">Vector3 Combinator </td>
|
||||
<td>(</td>
|
||||
<td class="paramname"></td><td>)</td>
|
||||
<td class="paramtype">Vector3 </td>
|
||||
<td class="paramname"><em>bias</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > </td>
|
||||
<td class="paramname"><em>synapses</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</td>
|
||||
<td class="mlabels-right">
|
||||
<span class="mlabels"><span class="mlabel">protected</span></span> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Sum the synapse outputs together. </p>
|
||||
<dl class="section return"><dt>Returns</dt><dd>The sum of the synapse outputs</dd></dl>
|
||||
<p>The combinator which combines the bias with the values from all synapses. </p>
|
||||
<dl class="params"><dt>Parameters</dt><dd>
|
||||
<table class="params">
|
||||
<tr><td class="paramname">bias</td><td>The bias of the neuron</td></tr>
|
||||
<tr><td class="paramname">synapses</td><td>The synapses of the neuron</td></tr>
|
||||
</table>
|
||||
</dd>
|
||||
</dl>
|
||||
<dl class="section return"><dt>Returns</dt><dd></dd></dl>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<a id="a985c9a28b445133460cee6aa23d050ea" name="a985c9a28b445133460cee6aa23d050ea"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a985c9a28b445133460cee6aa23d050ea">◆ </a></span>CombinatorProduct() <span class="overload">[2/2]</span></h2>
|
||||
<a id="a0dbc2b80fb98e5e8c219f422f2f7aa73" name="a0dbc2b80fb98e5e8c219f422f2f7aa73"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a0dbc2b80fb98e5e8c219f422f2f7aa73">◆ </a></span>CombinatorSum() <span class="overload">[2/2]</span></h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
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|
||||
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|
||||
<td class="mlabels-left">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">Vector3 CombinatorProduct </td>
|
||||
<td class="memname">static Vector3 CombinatorSum </td>
|
||||
<td>(</td>
|
||||
<td class="paramname"></td><td>)</td>
|
||||
<td class="paramtype">Vector3 </td>
|
||||
<td class="paramname"><em>bias</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > </td>
|
||||
<td class="paramname"><em>synapses</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</td>
|
||||
<td class="mlabels-right">
|
||||
<span class="mlabels"><span class="mlabel">static</span></span> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Sum the bias and synpase outputs together. </p>
|
||||
<dl class="params"><dt>Parameters</dt><dd>
|
||||
<table class="params">
|
||||
<tr><td class="paramname">bias</td><td>The bias of the neuron</td></tr>
|
||||
<tr><td class="paramname">synapses</td><td>The synapses of the neuron</td></tr>
|
||||
</table>
|
||||
</dd>
|
||||
</dl>
|
||||
<dl class="section return"><dt>Returns</dt><dd></dd></dl>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<a id="ab278cb03c9176522b9872b0b3460a0e0" name="ab278cb03c9176522b9872b0b3460a0e0"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#ab278cb03c9176522b9872b0b3460a0e0">◆ </a></span>CombinatorProduct() <span class="overload">[2/2]</span></h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="mlabels">
|
||||
<tr>
|
||||
<td class="mlabels-left">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">static Vector3 CombinatorProduct </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype">Vector3 </td>
|
||||
<td class="paramname"><em>bias</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype">List< <a class="el" href="class_nano_brain_1_1_synapse.html">Synapse</a> > </td>
|
||||
<td class="paramname"><em>synapses</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</td>
|
||||
<td class="mlabels-right">
|
||||
<span class="mlabels"><span class="mlabel">static</span></span> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Multiply the synapse outputs together. </p>
|
||||
<dl class="section return"><dt>Returns</dt><dd>The mutliplcation of the synapse outputs</dd></dl>
|
||||
<dl class="params"><dt>Parameters</dt><dd>
|
||||
<table class="params">
|
||||
<tr><td class="paramname">bias</td><td>The bias of the neuron</td></tr>
|
||||
<tr><td class="paramname">synapses</td><td>The synapses of the neuron</td></tr>
|
||||
</table>
|
||||
</dd>
|
||||
</dl>
|
||||
<dl class="section return"><dt>Returns</dt><dd>The result of the multiplication</dd></dl>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<a id="a89bb3565b62b372f9a9baad1b4657fc5" name="a89bb3565b62b372f9a9baad1b4657fc5"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a89bb3565b62b372f9a9baad1b4657fc5">◆ </a></span>Activator() <span class="overload">[1/2]</span></h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="mlabels">
|
||||
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|
||||
<td class="mlabels-left">
|
||||
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|
||||
<tr>
|
||||
<td class="memname">float3 Activator </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype">float3 </td>
|
||||
<td class="paramname"><em>inputValue</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</td>
|
||||
<td class="mlabels-right">
|
||||
<span class="mlabels"><span class="mlabel">protected</span></span> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Apply the activation function to the input. </p>
|
||||
<dl class="params"><dt>Parameters</dt><dd>
|
||||
<table class="params">
|
||||
<tr><td class="paramname">inputValue</td><td></td></tr>
|
||||
</table>
|
||||
</dd>
|
||||
</dl>
|
||||
<dl class="section return"><dt>Returns</dt><dd>The result of applying the activation function</dd></dl>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
@ -1002,6 +1242,41 @@ virtual List< <a class="el" href="class_nano_brain_1_1_nucleus.html">Nucleus<
|
||||
</dl>
|
||||
<dl class="section return"><dt>Returns</dt><dd>The normalized vector</dd></dl>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<a id="a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca" name="a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca">◆ </a></span>Activator() <span class="overload">[2/2]</span></h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="mlabels">
|
||||
<tr>
|
||||
<td class="mlabels-left">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">Vector3 Activator </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype">Vector3 </td>
|
||||
<td class="paramname"><em>inputValue</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</td>
|
||||
<td class="mlabels-right">
|
||||
<span class="mlabels"><span class="mlabel">protected</span></span> </td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Apply the activation function to the input. </p>
|
||||
<dl class="params"><dt>Parameters</dt><dd>
|
||||
<table class="params">
|
||||
<tr><td class="paramname">inputValue</td><td></td></tr>
|
||||
</table>
|
||||
</dd>
|
||||
</dl>
|
||||
<dl class="section return"><dt>Returns</dt><dd>The result of applying the activation function</dd></dl>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<a id="a337e53a6f6aae4d31dc5c5a5d4359213" name="a337e53a6f6aae4d31dc5c5a5d4359213"></a>
|
||||
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@ -84,9 +84,13 @@ $(function() {
|
||||
</div><!--header-->
|
||||
<div class="contents">
|
||||
<a name="details" id="details"></a><h2 class="groupheader">Description</h2>
|
||||
<div class="textblock"><p>The <a class="el" href="namespace_nano_brain.html" title="The Nanobrain namespace.">NanoBrain</a> Unity Componnent. </p>
|
||||
<p>This implements the top-level <a class="el" href="namespace_nano_brain.html" title="The Nanobrain namespace.">NanoBrain</a> Cluster <br />
|
||||
</p>
|
||||
<div class="textblock"><p>A <a class="el" href="namespace_nano_brain.html" title="The Nanobrain namespace.">NanoBrain</a> which can be used to control a gameobject. </p>
|
||||
<p>A <a class="el" href="namespace_nano_brain.html" title="The Nanobrain namespace.">NanoBrain</a> is a small neural network which can be used to implement functional behaviour. The network consists of neurons which are connected together with synapses. The output values of the neurons are of type Vector3 to support spatial computing.</p>
|
||||
<p>This component is basically a Unity representation of a nanobrain cluster. </p><dl class="section see"><dt>See also</dt><dd><ul>
|
||||
<li><a class="el" href="class_nano_brain_1_1_cluster.html">Cluster</a></li>
|
||||
<li><a class="el" href="class_nano_brain_1_1_neuron.html">Neuron</a> </li>
|
||||
</ul>
|
||||
</dd></dl>
|
||||
</div>
|
||||
<p>Inherits MonoBehaviour.</p>
|
||||
<table class="memberdecls">
|
||||
|
||||
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@ -82,11 +82,12 @@ $(function() {
|
||||
|
||||
<h3><a id="index_a" name="index_a"></a>- a -</h3><ul>
|
||||
<li>ActivationType : <a class="el" href="class_nano_brain_1_1_neuron.html#abda2c109ffc1dc92ebde0f4802c37b1f">Neuron</a></li>
|
||||
<li>Activator() : <a class="el" href="class_nano_brain_1_1_neuron.html#a89bb3565b62b372f9a9baad1b4657fc5">Neuron</a></li>
|
||||
<li>activator : <a class="el" href="class_nano_brain_1_1_neuron.html#a7b44b9201cb62d1778628082f10bb1d8">Neuron</a></li>
|
||||
<li>ActivatorBinary() : <a class="el" href="class_nano_brain_1_1_neuron.html#afd3dff2960a406f480a02db7fa351e68">Neuron</a></li>
|
||||
<li>ActivatorLinear() : <a class="el" href="class_nano_brain_1_1_neuron.html#aff1de06241cbc2846468d82203026382">Neuron</a></li>
|
||||
<li>ActivatorNormalized() : <a class="el" href="class_nano_brain_1_1_neuron.html#a115176d819f6eaa624803c2ee3770f32">Neuron</a></li>
|
||||
<li>ActivatorPower() : <a class="el" href="class_nano_brain_1_1_neuron.html#a8ec3807c2e34c26c93bd24364fb86cfd">Neuron</a></li>
|
||||
<li>ActivatorPower() : <a class="el" href="class_nano_brain_1_1_neuron.html#a7e418a2d45b63d8d50bb790686f0180b">Neuron</a></li>
|
||||
<li>ActivatorReciprocal() : <a class="el" href="class_nano_brain_1_1_neuron.html#a9b4e8a447335f2eea7df277b2c27110c">Neuron</a></li>
|
||||
<li>ActivatorSqrt() : <a class="el" href="class_nano_brain_1_1_neuron.html#aad821525adf08cba40407ef1924046a3">Neuron</a></li>
|
||||
<li>ActivatorTanh() : <a class="el" href="class_nano_brain_1_1_neuron.html#a963c97a182c9e4148146c330182e5389">Neuron</a></li>
|
||||
@ -111,10 +112,10 @@ $(function() {
|
||||
<li>cluster : <a class="el" href="class_nano_brain_1_1_unity_1_1_cluster_prefab.html#a7d698403a74165870dd28d9a11238e9e">ClusterPrefab</a></li>
|
||||
<li>CollectReceivers() : <a class="el" href="class_nano_brain_1_1_cluster.html#aafd42e24f34b91e3c441943e405f14ed">Cluster</a></li>
|
||||
<li>CollectSynapsesTo() : <a class="el" href="class_nano_brain_1_1_cluster.html#a4bcbf4162dcb5d5722f1bcb842194780">Cluster</a></li>
|
||||
<li>Combinator : <a class="el" href="class_nano_brain_1_1_neuron.html#a3f5113c3ec0e521ab24c3bdd34c5389e">Neuron</a></li>
|
||||
<li>combinator : <a class="el" href="class_nano_brain_1_1_neuron.html#adcd8e3279ab63ad98f34485b6403e0c9">Neuron</a></li>
|
||||
<li>CombinatorProduct() : <a class="el" href="class_nano_brain_1_1_neuron.html#acad9a97a8f3b9df50209623e3e50bce3">Neuron</a></li>
|
||||
<li>CombinatorSum() : <a class="el" href="class_nano_brain_1_1_neuron.html#ac336222e6d6f84cfc9f4ea68b5973166">Neuron</a></li>
|
||||
<li>Combinator() : <a class="el" href="class_nano_brain_1_1_neuron.html#a983416d3d4382abb4ef0e4d24d99e732">Neuron</a></li>
|
||||
<li>CombinatorProduct() : <a class="el" href="class_nano_brain_1_1_neuron.html#a94b65d9e945f73d7e6cebc03acd2e36f">Neuron</a></li>
|
||||
<li>CombinatorSum() : <a class="el" href="class_nano_brain_1_1_neuron.html#a8ec8679939dad6c9ccdd39e7c2cfae04">Neuron</a></li>
|
||||
<li>CombinatorType : <a class="el" href="class_nano_brain_1_1_neuron.html#a1b62779c4e520ef73e1e2afe2517d487">Neuron</a></li>
|
||||
<li>computeOrders : <a class="el" href="class_nano_brain_1_1_cluster.html#a3025fcf968634065929ce5e72ba6195b">Cluster</a></li>
|
||||
<li>curve : <a class="el" href="class_nano_brain_1_1_neuron.html#a515dbc8cdce3d6b2091228e7c6d2036f">Neuron</a></li>
|
||||
|
||||
@ -74,6 +74,7 @@ $(function() {
|
||||
<div class="textblock">Here is a list of all documented functions with links to the class documentation for each member:</div>
|
||||
|
||||
<h3><a id="index_a" name="index_a"></a>- a -</h3><ul>
|
||||
<li>Activator() : <a class="el" href="class_nano_brain_1_1_neuron.html#a1d0ff8ec1bf2a0f7a5ee4c4ffad722ca">Neuron</a></li>
|
||||
<li>ActivatorBinary() : <a class="el" href="class_nano_brain_1_1_neuron.html#afd3dff2960a406f480a02db7fa351e68">Neuron</a></li>
|
||||
<li>ActivatorLinear() : <a class="el" href="class_nano_brain_1_1_neuron.html#aff1de06241cbc2846468d82203026382">Neuron</a></li>
|
||||
<li>ActivatorNormalized() : <a class="el" href="class_nano_brain_1_1_neuron.html#a115176d819f6eaa624803c2ee3770f32">Neuron</a></li>
|
||||
@ -97,8 +98,9 @@ $(function() {
|
||||
<li>Cluster() : <a class="el" href="class_nano_brain_1_1_cluster.html#a7f15db45b7dae643e67e2574ec9c1f8f">Cluster</a></li>
|
||||
<li>CollectReceivers() : <a class="el" href="class_nano_brain_1_1_cluster.html#aafd42e24f34b91e3c441943e405f14ed">Cluster</a></li>
|
||||
<li>CollectSynapsesTo() : <a class="el" href="class_nano_brain_1_1_cluster.html#a4bcbf4162dcb5d5722f1bcb842194780">Cluster</a></li>
|
||||
<li>CombinatorProduct() : <a class="el" href="class_nano_brain_1_1_neuron.html#acad9a97a8f3b9df50209623e3e50bce3">Neuron</a></li>
|
||||
<li>CombinatorSum() : <a class="el" href="class_nano_brain_1_1_neuron.html#ac336222e6d6f84cfc9f4ea68b5973166">Neuron</a></li>
|
||||
<li>Combinator() : <a class="el" href="class_nano_brain_1_1_neuron.html#a61f71c8a24ee7a78783648b0147048a5">Neuron</a></li>
|
||||
<li>CombinatorProduct() : <a class="el" href="class_nano_brain_1_1_neuron.html#a94b65d9e945f73d7e6cebc03acd2e36f">Neuron</a></li>
|
||||
<li>CombinatorSum() : <a class="el" href="class_nano_brain_1_1_neuron.html#a8ec8679939dad6c9ccdd39e7c2cfae04">Neuron</a></li>
|
||||
</ul>
|
||||
|
||||
|
||||
|
||||
@ -75,7 +75,6 @@ $(function() {
|
||||
<li>activator : <a class="el" href="class_nano_brain_1_1_neuron.html#a7b44b9201cb62d1778628082f10bb1d8">Neuron</a></li>
|
||||
<li>baseName : <a class="el" href="class_nano_brain_1_1_cluster.html#a69781b68637b633039d76380665acdbf">Cluster</a></li>
|
||||
<li>brain : <a class="el" href="class_nano_brain_1_1_unity_1_1_brain.html#a13c34b3156815d7a106ecd64d75f0aa0">Brain</a></li>
|
||||
<li>Combinator : <a class="el" href="class_nano_brain_1_1_neuron.html#ade3c65b8999bc2caea35a477a890d557">Neuron</a></li>
|
||||
<li>computeOrders : <a class="el" href="class_nano_brain_1_1_cluster.html#a3025fcf968634065929ce5e72ba6195b">Cluster</a></li>
|
||||
<li>defaultOutput : <a class="el" href="class_nano_brain_1_1_cluster.html#ac1a42e360c06e2d39f1230088df95315">Cluster</a></li>
|
||||
<li>isFiring : <a class="el" href="class_nano_brain_1_1_neuron.html#ad12c9bcead3b485fb46faed0d4934bcb">Neuron</a></li>
|
||||
|
||||
@ -76,7 +76,7 @@ $(function() {
|
||||
<div class="contents">
|
||||
<div class="textblock">This inheritance list is sorted roughly, but not completely, alphabetically:</div><div class="directory">
|
||||
<div class="levels">[detail level <span onclick="javascript:toggleLevel(1);">1</span><span onclick="javascript:toggleLevel(2);">2</span><span onclick="javascript:toggleLevel(3);">3</span>]</div><table class="directory">
|
||||
<tr id="row_0_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="class_nano_brain_1_1_unity_1_1_brain.html" target="_self">Brain</a></td><td class="desc">The <a class="el" href="namespace_nano_brain.html" title="The Nanobrain namespace.">NanoBrain</a> Unity Componnent </td></tr>
|
||||
<tr id="row_0_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="class_nano_brain_1_1_unity_1_1_brain.html" target="_self">Brain</a></td><td class="desc">A <a class="el" href="namespace_nano_brain.html" title="The Nanobrain namespace.">NanoBrain</a> which can be used to control a gameobject </td></tr>
|
||||
<tr id="row_1_" class="odd"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="class_nano_brain_1_1_unity_1_1_cluster_prefab.html" target="_self">ClusterPrefab</a></td><td class="desc">The Unity ScriptableObject to implement re-usable Cluster Prefabs </td></tr>
|
||||
<tr id="row_2_" class="even"><td class="entry"><span style="width:0px;display:inline-block;"> </span><span id="arr_2_" class="arrow" onclick="toggleFolder('2_')">▼</span><span class="icona"><span class="icon">C</span></span><a class="el" href="class_nano_brain_1_1_nucleus.html" target="_self">Nucleus</a></td><td class="desc">A Nucleus is a basic element in a brain cluster </td></tr>
|
||||
<tr id="row_2_0_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="class_nano_brain_1_1_cluster.html" target="_self">Cluster</a></td><td class="desc">A Cluster combines a collection of Nuclei to implement reusable behaviour </td></tr>
|
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@ -84,7 +84,7 @@ $(function() {
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="nested-classes" name="nested-classes"></a>
|
||||
Classes</h2></td></tr>
|
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_unity_1_1_brain.html">Brain</a></td></tr>
|
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<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">The <a class="el" href="namespace_nano_brain.html" title="The Nanobrain namespace.">NanoBrain</a> Unity Componnent. <a href="class_nano_brain_1_1_unity_1_1_brain.html#details">More...</a><br /></td></tr>
|
||||
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">A <a class="el" href="namespace_nano_brain.html" title="The Nanobrain namespace.">NanoBrain</a> which can be used to control a gameobject. <a href="class_nano_brain_1_1_unity_1_1_brain.html#details">More...</a><br /></td></tr>
|
||||
<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="class_nano_brain_1_1_unity_1_1_cluster_prefab.html">ClusterPrefab</a></td></tr>
|
||||
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">The Unity ScriptableObject to implement re-usable Cluster Prefabs. <a href="class_nano_brain_1_1_unity_1_1_cluster_prefab.html#details">More...</a><br /></td></tr>
|
||||
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||||
['combinatorsum_6',['combinatorsum',['../class_nano_brain_1_1_neuron.html#a8ec8679939dad6c9ccdd39e7c2cfae04',1,'NanoBrain.Neuron.CombinatorSum(float3 bias, List< Synapse > synapses)'],['../class_nano_brain_1_1_neuron.html#a0dbc2b80fb98e5e8c219f422f2f7aa73',1,'NanoBrain.Neuron.CombinatorSum(Vector3 bias, List< Synapse > synapses)']]]
|
||||
];
|
||||
|
||||
7
Documentation/html/search/namespaces_1.js.meta
Normal file
7
Documentation/html/search/namespaces_1.js.meta
Normal file
@ -0,0 +1,7 @@
|
||||
fileFormatVersion: 2
|
||||
guid: e5f5c27ddc89b1be0bc2f22b0e5a192b
|
||||
DefaultImporter:
|
||||
externalObjects: {}
|
||||
userData:
|
||||
assetBundleName:
|
||||
assetBundleVariant:
|
||||
@ -1,5 +1,4 @@
|
||||
var searchData=
|
||||
[
|
||||
['combinator_0',['combinator',['../class_nano_brain_1_1_neuron.html#ade3c65b8999bc2caea35a477a890d557',1,'NanoBrain.Neuron.Combinator'],['../class_nano_brain_1_1_neuron.html#a3f5113c3ec0e521ab24c3bdd34c5389e',1,'NanoBrain.Neuron.Combinator']]],
|
||||
['computeorders_1',['computeOrders',['../class_nano_brain_1_1_cluster.html#a3025fcf968634065929ce5e72ba6195b',1,'NanoBrain::Cluster']]]
|
||||
['computeorders_0',['computeOrders',['../class_nano_brain_1_1_cluster.html#a3025fcf968634065929ce5e72ba6195b',1,'NanoBrain::Cluster']]]
|
||||
];
|
||||
|
||||
82
Editor/ClusterPrefab_Drawer.cs
Normal file
82
Editor/ClusterPrefab_Drawer.cs
Normal file
@ -0,0 +1,82 @@
|
||||
using System.Collections.Generic;
|
||||
using UnityEngine;
|
||||
using UnityEngine.UIElements;
|
||||
using UnityEditor;
|
||||
|
||||
namespace NanoBrain.Unity {
|
||||
|
||||
[CustomPropertyDrawer(typeof(ClusterPrefab))]
|
||||
class ClusterPrefab_Drawer : PropertyDrawer {
|
||||
public static void Insepctor(SerializedObject serializedObject, string propertyName) {
|
||||
EditorGUILayout.PropertyField(serializedObject.FindProperty(propertyName));
|
||||
}
|
||||
|
||||
// Cache VisualElement per property path to avoid recreating every frame
|
||||
static Dictionary<string, VisualElement> s_cache = new Dictionary<string, VisualElement>();
|
||||
|
||||
const float padding = 4f;
|
||||
const float elementHeight = 64f; // height reserved for the VisualElement
|
||||
|
||||
public override float GetPropertyHeight(SerializedProperty property, GUIContent label) {
|
||||
float height = EditorGUIUtility.singleLineHeight;
|
||||
if (property.objectReferenceValue != null)
|
||||
height += padding + elementHeight;
|
||||
return 600; //height;
|
||||
}
|
||||
|
||||
static Dictionary<string, bool> s_foldouts = new Dictionary<string, bool>();
|
||||
|
||||
public override void OnGUI(Rect position, SerializedProperty property, GUIContent label) {
|
||||
label = EditorGUI.BeginProperty(position, label, property);
|
||||
|
||||
// Begin indent block
|
||||
int indent = EditorGUI.indentLevel;
|
||||
EditorGUI.indentLevel = 0;
|
||||
|
||||
// Draw the object field on the top line
|
||||
Rect fieldRect = new(position.x, position.y, position.width, EditorGUIUtility.singleLineHeight);
|
||||
|
||||
EditorGUI.PropertyField(fieldRect, property, label);
|
||||
if (property.objectReferenceValue is ClusterPrefab prefab) {
|
||||
// key per field instance
|
||||
string key = property.propertyPath + "_" + property.serializedObject.targetObject.GetEntityId();
|
||||
if (!s_foldouts.TryGetValue(key, out bool isOpen)) isOpen = true;
|
||||
|
||||
// foldout header rect
|
||||
Rect headerRect = new Rect(fieldRect.x, fieldRect.yMax + 4f, fieldRect.width, EditorGUIUtility.singleLineHeight);
|
||||
isOpen = EditorGUI.Foldout(headerRect, isOpen, "Graph", true);
|
||||
s_foldouts[key] = isOpen;
|
||||
|
||||
if (isOpen) {
|
||||
// content rect below header
|
||||
Rect drawRect = new Rect(fieldRect.x, headerRect.yMax + 2f, fieldRect.width, 450f);
|
||||
|
||||
// IMGUIContainer should be inserted here
|
||||
ClusterView.Render(drawRect, prefab.cluster, property);
|
||||
}
|
||||
}
|
||||
|
||||
EditorGUI.indentLevel = indent;
|
||||
EditorGUI.EndProperty();
|
||||
}
|
||||
|
||||
// public ClusterViewer.GraphView CreateViewer(Cluster cluster, GameObject gameObject) {
|
||||
// VisualElement mainContainer = new() {
|
||||
// style = {
|
||||
// flexDirection = FlexDirection.Row,
|
||||
// minHeight = 450
|
||||
// }
|
||||
// };
|
||||
// ClusterViewer.GraphView graph = new(cluster);
|
||||
// graph.style.flexGrow = 1;
|
||||
|
||||
// mainContainer.Add(graph);
|
||||
// root.Add(mainContainer);
|
||||
|
||||
// graph.SetGraph(gameObject);
|
||||
|
||||
// return graph;
|
||||
// }
|
||||
}
|
||||
|
||||
}
|
||||
2
Editor/ClusterPrefab_Drawer.cs.meta
Normal file
2
Editor/ClusterPrefab_Drawer.cs.meta
Normal file
@ -0,0 +1,2 @@
|
||||
fileFormatVersion: 2
|
||||
guid: 5f43b401b7d59dec7ac7d493cbc4927d
|
||||
148
Editor/ClusterView.cs
Normal file
148
Editor/ClusterView.cs
Normal file
@ -0,0 +1,148 @@
|
||||
using System.Collections.Generic;
|
||||
using UnityEngine;
|
||||
using UnityEditor;
|
||||
|
||||
namespace NanoBrain.Unity {
|
||||
|
||||
public class ClusterView {
|
||||
|
||||
private static readonly float size = 20;
|
||||
|
||||
protected class ViewState {
|
||||
public string key = null;
|
||||
public Vector2 scrollPos = Vector2.zero;
|
||||
public bool expandArray = false;
|
||||
public Nucleus currentNucleus = null;
|
||||
}
|
||||
|
||||
static Dictionary<string, ViewState> viewStates = new();
|
||||
private static ViewState GetViewState(SerializedProperty property) {
|
||||
string key = property.propertyPath + "_" + property.serializedObject.targetObject.GetEntityId();
|
||||
if (!viewStates.TryGetValue(key, out ViewState state))
|
||||
state = new() { key = key };
|
||||
return state;
|
||||
}
|
||||
|
||||
private static void UpdateViewState(ViewState viewState) {
|
||||
viewStates[viewState.key] = viewState;
|
||||
}
|
||||
|
||||
public static void Render(Rect drawRect, Cluster cluster, SerializedProperty property) {
|
||||
ViewState state = GetViewState(property);
|
||||
|
||||
// background
|
||||
EditorGUI.DrawRect(drawRect, Color.black);
|
||||
|
||||
const float contentWidth = 1000f;
|
||||
Rect contentRect = new Rect(0f, 0f, contentWidth, drawRect.height);
|
||||
|
||||
// Begin horizontal-only scroll view
|
||||
state.scrollPos = GUI.BeginScrollView(drawRect, state.scrollPos, contentRect, true, false);
|
||||
|
||||
// Local content group: draw GUI content using content-local coords (0..contentWidth)
|
||||
GUI.BeginGroup(new Rect(-state.scrollPos.x, 0f, contentWidth, drawRect.height));
|
||||
EditorGUI.DrawRect(new Rect(0f, 0f, contentWidth, drawRect.height), new Color(0.08f, 0.08f, 0.08f, 1f));
|
||||
GUI.EndGroup();
|
||||
GUI.EndScrollView();
|
||||
|
||||
// Clip to drawRect so Handles are not drawn outside the black area
|
||||
GUI.BeginGroup(drawRect);
|
||||
|
||||
// Inner group positions content origin so local coords match content space and respect scroll
|
||||
GUI.BeginGroup(new Rect(-state.scrollPos.x, 0f, contentWidth, drawRect.height));
|
||||
|
||||
Handles.BeginGUI();
|
||||
DrawNucleus(state, cluster, new Vector2(100, 100), Color.black);
|
||||
Handles.EndGUI();
|
||||
|
||||
GUI.EndGroup(); // end inner group
|
||||
GUI.EndGroup(); // end clipping group
|
||||
|
||||
UpdateViewState(state);
|
||||
}
|
||||
|
||||
protected static void DrawNucleus(ViewState state, Nucleus nucleus, Vector2 position, Color color) {
|
||||
if (nucleus == null)
|
||||
return;
|
||||
|
||||
if (nucleus == state.currentNucleus) {
|
||||
// The selected nucleus highlight ring
|
||||
Handles.color = Color.white;
|
||||
Handles.DrawSolidDisc(position, Vector3.forward, size + 2);
|
||||
}
|
||||
|
||||
if (nucleus is MemoryCell) {
|
||||
Handles.color = Color.white;
|
||||
Handles.DrawWireDisc(position + Vector2.right * 10, Vector3.forward, size);
|
||||
}
|
||||
|
||||
Handles.color = color;
|
||||
Handles.DrawSolidDisc(position, Vector3.forward, size);
|
||||
|
||||
Handles.color = Color.white;
|
||||
// Position the label in front of the disc
|
||||
//Vector3 labelPosition = position; // + (Vector2.forward * 0.1f);
|
||||
|
||||
GUIStyle style = new(EditorStyles.label) {
|
||||
alignment = TextAnchor.MiddleCenter,
|
||||
normal = { textColor = Color.white },
|
||||
fontStyle = FontStyle.Bold,
|
||||
};
|
||||
|
||||
// if (nucleus.parent is Cluster parentCluster && currentNucleus != null && parentCluster != currentNucleus.parent)
|
||||
// DrawCluster(parentCluster, position, color, size);
|
||||
// else if (nucleus is Cluster cluster)
|
||||
// DrawCluster(cluster, position, color, size);
|
||||
|
||||
if (state.expandArray == false) {// || nucleus != currentNucleus) {
|
||||
// put name below nucleus
|
||||
Vector3 labelPos = position - Vector2.down * (size + 5); // below neuron
|
||||
style.alignment = TextAnchor.UpperCenter;
|
||||
|
||||
if (nucleus.parent != null && state.currentNucleus != null && nucleus.parent != state.currentNucleus.parent && nucleus.parent is Cluster parentCluster1) {
|
||||
// This neuron is part of another cluster
|
||||
parentCluster1.name ??= "";
|
||||
int colonPos = parentCluster1.name.IndexOf(":");
|
||||
string baseName;
|
||||
if (colonPos > 0 && colonPos < parentCluster1.name.Length - 2)
|
||||
baseName = parentCluster1.name[..colonPos] + "\n";
|
||||
else
|
||||
baseName = parentCluster1.name + "\n";
|
||||
Handles.Label(labelPos, baseName + nucleus.name, style);
|
||||
}
|
||||
else {
|
||||
nucleus.name ??= "";
|
||||
int colonPos = nucleus.name.IndexOf(":");
|
||||
if (colonPos > 0 && colonPos < nucleus.name.Length - 2) {
|
||||
// if it is an array, we should not show the :0 of the first element
|
||||
string baseName = nucleus.name[..colonPos];
|
||||
Handles.Label(labelPos, baseName, style);
|
||||
}
|
||||
else
|
||||
Handles.Label(labelPos, nucleus.name, style);
|
||||
}
|
||||
}
|
||||
|
||||
// Tooltip
|
||||
// Rect neuronRect = new(position.x - size, position.y - size, size * 2, size * 2);
|
||||
|
||||
// int id = GUIUtility.GetControlID(FocusType.Passive);
|
||||
// Event e = Event.current;
|
||||
// EventType et = e.GetTypeForControl(id);
|
||||
// if (e != null && neuronRect.Contains(e.mousePosition)) {
|
||||
// // Process Hover
|
||||
// HandleMouseHover(nucleus, neuronRect);
|
||||
// // Process click
|
||||
// if (e.type == EventType.MouseDown && e.button == 0) {
|
||||
// // Consume the event so the scene doesn't also handle it
|
||||
// e.Use();
|
||||
// if (nucleus is Cluster parentCluster2)
|
||||
// OnNeuronClick(parentCluster2);
|
||||
// else
|
||||
// OnNeuronClick(nucleus);
|
||||
// }
|
||||
// }
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
2
Editor/ClusterView.cs.meta
Normal file
2
Editor/ClusterView.cs.meta
Normal file
@ -0,0 +1,2 @@
|
||||
fileFormatVersion: 2
|
||||
guid: 8a7663ccd347fd78dbdba393c03ed7c7
|
||||
@ -12,7 +12,6 @@ namespace NanoBrain.Unity {
|
||||
public static ClusterPrefab previousPrefab;
|
||||
|
||||
public class GraphView : VisualElement {
|
||||
//protected readonly ClusterPrefab prefab;
|
||||
protected Cluster currentCluster;
|
||||
protected SerializedObject serializedBrain;
|
||||
protected Nucleus _currentNucleus;
|
||||
@ -62,19 +61,13 @@ namespace NanoBrain.Unity {
|
||||
scrollView.style.position = Position.Absolute;
|
||||
scrollView.style.left = 0; scrollView.style.top = 0;
|
||||
scrollView.style.right = 0; scrollView.style.bottom = 0;
|
||||
//scrollView.style.flexGrow = 1;
|
||||
scrollView.horizontalScrollerVisibility = ScrollerVisibility.Auto; // Auto shows when needed
|
||||
scrollView.verticalScrollerVisibility = ScrollerVisibility.Hidden;
|
||||
|
||||
graphContainer = new(OnIMGUI);
|
||||
//graphContainer.style.position = Position.Relative; // or omit this line
|
||||
//graphContainer.style.position = Position.Absolute;
|
||||
// graphContainer.style.left = 0; graphContainer.style.top = 0;
|
||||
// graphContainer.style.right = 0; graphContainer.style.bottom = 0;
|
||||
graphContainer.pickingMode = PickingMode.Position;
|
||||
graphContainer.focusable = true;
|
||||
//graphContainer.style.width = 1200;
|
||||
//graphContainer.style.width = new StyleLength(StyleKeyword.Null); // allow content to determine width
|
||||
graphContainer = new(OnIMGUI) {
|
||||
pickingMode = PickingMode.Position,
|
||||
focusable = true
|
||||
};
|
||||
|
||||
scrollView.contentContainer.Add(graphContainer);
|
||||
Add(scrollView);
|
||||
@ -140,7 +133,7 @@ namespace NanoBrain.Unity {
|
||||
|
||||
#region Graph
|
||||
|
||||
protected virtual void DrawGraph() {
|
||||
public virtual void DrawGraph() {
|
||||
if (mode == Mode.Focus)
|
||||
DrawFocusGraph();
|
||||
else
|
||||
|
||||
@ -4,9 +4,17 @@ using UnityEngine;
|
||||
namespace NanoBrain.Unity {
|
||||
|
||||
/// <summary>
|
||||
/// The NanoBrain Unity Componnent
|
||||
/// A NanoBrain which can be used to control a gameobject
|
||||
/// </summary>
|
||||
/// This implements the top-level NanoBrain Cluster
|
||||
/// A NanoBrain is a small neural network which can be used to implement functional behaviour.
|
||||
/// The network consists of neurons which are connected together with synapses.
|
||||
/// The output values of the neurons are of type Vector3 to support spatial computing.
|
||||
///
|
||||
/// This component is basically a Unity representation of a nanobrain cluster.
|
||||
/// \sa
|
||||
/// - \ref NanoBrain::Cluster "Cluster"
|
||||
/// - \ref NanoBrain::Neuron "Neuron"
|
||||
[HelpURL("https://passer.life/documentation/nanobrain/Documentation/html/class_nano_brain_1_1_unity_1_1_brain.html")]
|
||||
public class Brain : MonoBehaviour {
|
||||
/// <summary>
|
||||
/// The Cluster prefab from which the cluster is created
|
||||
|
||||
@ -45,7 +45,7 @@ namespace NanoBrain {
|
||||
/// \copydoc NanoBrain::Nucleus::UpdateStateIsolated
|
||||
public override void UpdateStateIsolated() {
|
||||
// A memorycell does not have an activation function
|
||||
var result = Combinator();
|
||||
var result = Combinator(this.bias, this.synapses);
|
||||
|
||||
if (initialized)
|
||||
// Output the previous, memorized value
|
||||
|
||||
@ -12,6 +12,15 @@ namespace NanoBrain {
|
||||
/// <summary>
|
||||
/// A neuron is a basic Nucleus
|
||||
/// </summary>
|
||||
/// A neuron combines the weighted input from other neurons and applies an activation function to it
|
||||
/// to compute the output value:
|
||||
/// \code
|
||||
/// Vector3 combination = NanoBrain::Neuron::Combinator(bias, synapses);
|
||||
/// Vector3 output = NanoBrain::Neuron::Activator(combination);
|
||||
/// \endcode
|
||||
/// The synapses are connections to other neurons.
|
||||
/// Each connection has a weight which is used to multiply the output of that other neuron
|
||||
/// before it is used by the combinator.
|
||||
[Serializable]
|
||||
public class Neuron : Nucleus {
|
||||
|
||||
@ -436,8 +445,8 @@ namespace NanoBrain {
|
||||
|
||||
/// \copydoc NanoBrain::Nucleus::UpdateStateIsolated
|
||||
public override void UpdateStateIsolated() {
|
||||
var result = Combinator();
|
||||
this.outputValue = ApplyActivator(result);
|
||||
var combination = Combinator(this.bias, this.synapses);
|
||||
this.outputValue = Activator(combination);
|
||||
this.lastUpdate = Time.time;
|
||||
}
|
||||
|
||||
@ -446,21 +455,28 @@ namespace NanoBrain {
|
||||
#if UNITY_MATHEMATICS
|
||||
|
||||
/// <summary>
|
||||
/// The combinator which combines the values from all synapses
|
||||
/// The combinator which combines the bias with the values from all synapses
|
||||
/// </summary>
|
||||
protected Func<float3> Combinator => combinator switch {
|
||||
CombinatorType.Sum => CombinatorSum,
|
||||
CombinatorType.Product => CombinatorProduct,
|
||||
_ => CombinatorSum
|
||||
};
|
||||
/// <param name="bias">The bias of the neuron</param>
|
||||
/// <param name="synapses">The synapses of the neuron</param>
|
||||
/// <returns></returns>
|
||||
protected float3 Combinator(float3 bias, List<Synapse> synapses) {
|
||||
switch (combinator) {
|
||||
case CombinatorType.Sum: return CombinatorSum(bias, synapses);
|
||||
case CombinatorType.Product: return CombinatorProduct(bias, synapses);
|
||||
default: return CombinatorSum(bias, synapses);
|
||||
}
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Sum the synapse outputs together
|
||||
/// Sum the bias and synpase outputs together
|
||||
/// </summary>
|
||||
/// <returns>The sum of the synapse outputs</returns>
|
||||
public float3 CombinatorSum() {
|
||||
float3 sum = this.bias;
|
||||
foreach (Synapse synapse in this.synapses) {
|
||||
/// <param name="bias">The bias of the neuron</param>
|
||||
/// <param name="synapses">The synapses of the neuron</param>
|
||||
/// <returns></returns>
|
||||
public static float3 CombinatorSum(float3 bias, List<Synapse> synapses) {
|
||||
float3 sum = bias;
|
||||
foreach (Synapse synapse in synapses) {
|
||||
synapse.neuron.SleepCheck();
|
||||
sum += synapse.weight * synapse.neuron.outputValue;
|
||||
}
|
||||
@ -470,10 +486,12 @@ namespace NanoBrain {
|
||||
/// <summary>
|
||||
/// Multiply the synapse outputs together
|
||||
/// </summary>
|
||||
/// <returns>The mutliplcation of the synapse outputs</returns>
|
||||
public float3 CombinatorProduct() {
|
||||
float3 product = this.bias;
|
||||
foreach (Synapse synapse in this.synapses) {
|
||||
/// <param name="bias">The bias of the neuron</param>
|
||||
/// <param name="synapses">The synapses of the neuron</param>
|
||||
/// <returns>The result of the multiplication</returns>
|
||||
public static float3 CombinatorProduct(float3 bias, List<Synapse> synapses) {
|
||||
float3 product = bias;
|
||||
foreach (Synapse synapse in synapses) {
|
||||
synapse.neuron.SleepCheck();
|
||||
product *= synapse.weight * synapse.neuron.outputValue;
|
||||
}
|
||||
@ -483,34 +501,45 @@ namespace NanoBrain {
|
||||
#else
|
||||
|
||||
/// <summary>
|
||||
/// The combinator which combines the values from all synapses
|
||||
/// The combinator which combines the bias with the values from all synapses
|
||||
/// </summary>
|
||||
protected Func<Vector3> Combinator => combinator switch {
|
||||
CombinatorType.Sum => CombinatorSum,
|
||||
CombinatorType.Product => CombinatorProduct,
|
||||
_ => CombinatorSum
|
||||
};
|
||||
/// <param name="bias">The bias of the neuron</param>
|
||||
/// <param name="synapses">The synapses of the neuron</param>
|
||||
/// <returns></returns>
|
||||
protected Vector3 Combinator(Vector3 bias, List<Synapse> synapses) {
|
||||
switch (combinator) {
|
||||
case CombinatorType.Sum: return CombinatorSum(bias, synapses);
|
||||
case CombinatorType.Product: return CombinatorProduct(bias, synapses);
|
||||
default: return CombinatorSum(bias, synapses);
|
||||
}
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Sum the synapse outputs together
|
||||
/// Sum the bias and synpase outputs together
|
||||
/// </summary>
|
||||
/// <returns>The sum of the synapse outputs</returns>
|
||||
public Vector3 CombinatorSum() {
|
||||
Vector3 sum = this.bias;
|
||||
foreach (Synapse synapse in this.synapses)
|
||||
/// <param name="bias">The bias of the neuron</param>
|
||||
/// <param name="synapses">The synapses of the neuron</param>
|
||||
/// <returns></returns>
|
||||
public static Vector3 CombinatorSum(Vector3 bias, List<Synapse> synapses) {
|
||||
float3 sum = bias;
|
||||
foreach (Synapse synapse in synapses) {
|
||||
synapse.neuron.SleepCheck();
|
||||
sum += synapse.weight * synapse.neuron.outputValue;
|
||||
}
|
||||
return sum;
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Multiply the synapse outputs together
|
||||
/// </summary>
|
||||
/// <returns>The mutliplcation of the synapse outputs</returns>
|
||||
public Vector3 CombinatorProduct() {
|
||||
Vector3 product = this.bias;
|
||||
foreach (Synapse synapse in this.synapses) {
|
||||
//product *= synapse.weight * synapse.neuron.outputValue;
|
||||
product = Vector3.Scale(product, synapse.weight * synapse.neuron.outputValue);
|
||||
/// <param name="bias">The bias of the neuron</param>
|
||||
/// <param name="synapses">The synapses of the neuron</param>
|
||||
/// <returns>The result of the multiplication</returns>
|
||||
public static Vector3 CombinatorProduct(Vector3 bias, List<Synapse> synapses) {
|
||||
float3 product = bias;
|
||||
foreach (Synapse synapse in synapses) {
|
||||
synapse.neuron.SleepCheck();
|
||||
product *= synapse.weight * synapse.neuron.outputValue;
|
||||
}
|
||||
return product;
|
||||
}
|
||||
@ -528,7 +557,7 @@ namespace NanoBrain {
|
||||
/// <param name="inputValue"></param>
|
||||
/// <returns>The result of applying the activation function</returns>
|
||||
// This does not allocate memory and seems faster than a switch expression
|
||||
float3 ApplyActivator(float3 inputValue) {
|
||||
protected float3 Activator(float3 inputValue) {
|
||||
switch (activator) {
|
||||
case ActivationType.Linear: return ActivatorLinear(inputValue);
|
||||
case ActivationType.Sqrt: return ActivatorSqrt(inputValue);
|
||||
@ -625,15 +654,15 @@ namespace NanoBrain {
|
||||
/// <param name="inputValue"></param>
|
||||
/// <returns>The result of applying the activation function</returns>
|
||||
// This does not allocate memory and seems faster than a switch expression
|
||||
Vector3 ApplyActivator(Vector3 inputValue) {
|
||||
protected Vector3 Activator(Vector3 inputValue) {
|
||||
switch (activator) {
|
||||
case ActivationType.Linear: return ActivatorLinear(inputValue);
|
||||
case ActivationType.Sqrt: return ActivatorSqrt(inputValue);
|
||||
case ActivationType.Power: return ActivatorPower(inputValue);
|
||||
case ActivationType.Reciprocal: return ActivatorReciprocal(inputValue);
|
||||
case ActivationType.Tanh: return ActivatorTanh(inputValue);
|
||||
case ActivationType.Binary: return ActivatorBinary(inputValue);
|
||||
case ActivationType.Normalized: return ActivatorNormalized(inputValue);
|
||||
// case ActivationType.Tanh: return ActivatorTanh(inputValue);
|
||||
// case ActivationType.Binary: return ActivatorBinary(inputValue);
|
||||
// case ActivationType.Normalized: return ActivatorNormalized(inputValue);
|
||||
default: return ActivatorLinear(inputValue);
|
||||
}
|
||||
}
|
||||
|
||||
26
Samples/Breitenberg/Breitenberg.asset
Normal file
26
Samples/Breitenberg/Breitenberg.asset
Normal file
@ -0,0 +1,26 @@
|
||||
%YAML 1.1
|
||||
%TAG !u! tag:unity3d.com,2011:
|
||||
--- !u!114 &11400000
|
||||
MonoBehaviour:
|
||||
m_ObjectHideFlags: 0
|
||||
m_CorrespondingSourceObject: {fileID: 0}
|
||||
m_PrefabInstance: {fileID: 0}
|
||||
m_PrefabAsset: {fileID: 0}
|
||||
m_GameObject: {fileID: 0}
|
||||
m_Enabled: 1
|
||||
m_EditorHideFlags: 0
|
||||
m_Script: {fileID: 11500000, guid: 60a957541c24c57e78018c202ebb1d9b, type: 3}
|
||||
m_Name: Breitenberg
|
||||
m_EditorClassIdentifier: Assembly-CSharp::NanoBrain.Unity.ClusterPrefab
|
||||
cluster:
|
||||
name:
|
||||
parent:
|
||||
rid: -2
|
||||
prefab: {fileID: 0}
|
||||
instanceCount: 0
|
||||
nuclei: []
|
||||
references:
|
||||
version: 2
|
||||
RefIds:
|
||||
- rid: -2
|
||||
type: {class: , ns: , asm: }
|
||||
8
Samples/Breitenberg/Breitenberg.asset.meta
Normal file
8
Samples/Breitenberg/Breitenberg.asset.meta
Normal file
@ -0,0 +1,8 @@
|
||||
fileFormatVersion: 2
|
||||
guid: f6472e5b4459918cab23832c0545c832
|
||||
NativeFormatImporter:
|
||||
externalObjects: {}
|
||||
mainObjectFileID: 11400000
|
||||
userData:
|
||||
assetBundleName:
|
||||
assetBundleVariant:
|
||||
@ -22,6 +22,8 @@ namespace NanoBrain.Breitenberg {
|
||||
public Rigidbody rb;
|
||||
public float turnTorque = 5f; // rotational influence
|
||||
|
||||
public Unity.ClusterPrefab brain;
|
||||
|
||||
void FixedUpdate() {
|
||||
float sL = sensorLeft.output;
|
||||
float sR = sensorRight.output;
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user