- Parameters
-
inputValue The value of the stimulus thingId The id of the thing causing the stimulus thingName The name of the thing causing the stimulus
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ |
+
+ Nano Brain for Unity v0.1
+
+ |
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Loading...
+Searching...
+No Matches
+
+
+
+Neuron.Presets Member List
+
+
+
+
+This is the complete list of members for Neuron.Presets, including all inherited members.
+| Binary() | Neuron.Presets | static |
| Linear(float weight) | Neuron.Presets | static |
| Power(float exponent, float weight) | Neuron.Presets | static |
| Reciprocal(float weight) | Neuron.Presets | static |
| Tanh(float weight) | Neuron.Presets | static |
+Generated by
1.9.8
+
+
+
diff --git a/Documentation/html/class_nano_brain_1_1_neuron_1_1_presets.html b/Documentation/html/class_nano_brain_1_1_neuron_1_1_presets.html
new file mode 100644
index 0000000..add4a1a
--- /dev/null
+++ b/Documentation/html/class_nano_brain_1_1_neuron_1_1_presets.html
@@ -0,0 +1,291 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ |
+
+ Nano Brain for Unity v0.1
+
+ |
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Loading...
+Searching...
+No Matches
+
+
+
+
+Neuron.Presets Class Reference
+
+
+
+
+Description
+The curve presets for the activation functions.
++Static Public Member Functions | |
| static AnimationCurve | Linear (float weight) |
| Generate a curve for the linear activation function. | |
| static AnimationCurve | Power (float exponent, float weight) |
| Generate a curve for the power activation function. | |
| static AnimationCurve | Reciprocal (float weight) |
| Generate a curve for the reciprocal activation function. | |
| static AnimationCurve | Tanh (float weight) |
| Generate a curve for the tanh activation function. | |
| static AnimationCurve | Binary () |
| Generate a curve for the binary activation function. | |
Member Function Documentation
+ +◆ Linear()
+ +
+
+
+
+
+
+
+
|
+ +static | +
+
+
+Generate a curve for the linear activation function.
+- Parameters
-
+
+
+weight The maximum value for the function
+
- Returns
- The curve preset
◆ Power()
+ +
+
+
+
+
+
+
+
|
+ +static | +
+
+
+Generate a curve for the power activation function.
+- Parameters
-
+
+
+exponent The exponent of the power function weight The maximum value for the function
+
- Returns
- The curve preset
◆ Reciprocal()
+ +
+
+
+
+
+
+
+
|
+ +static | +
+
+
+Generate a curve for the reciprocal activation function.
+- Parameters
-
+
+
+weight The maximum value for the function
+
- Returns
- The curve preset
◆ Tanh()
+ +
+
+
+
+
+
+
+
|
+ +static | +
+
+
+Generate a curve for the tanh activation function.
+- Parameters
-
+
+
+weight The maximum value for the function
+
- Returns
- The curve preset
◆ Binary()
+ +
+
+
+
+
+
+
|
+ +static | +
+
+
+Generate a curve for the binary activation function.
+- Returns
- The curve preset
+Generated by
1.9.8
+
+
+
diff --git a/Documentation/html/classes.html b/Documentation/html/classes.html
index 7a712c5..0ded1ef 100644
--- a/Documentation/html/classes.html
+++ b/Documentation/html/classes.html
@@ -74,7 +74,7 @@ $(function() {
Class Index
-
+
diff --git a/Documentation/html/functions.html b/Documentation/html/functions.html
index 3a19294..3e3d1f9 100644
--- a/Documentation/html/functions.html
+++ b/Documentation/html/functions.html
@@ -74,13 +74,24 @@ $(function() {
diff --git a/Documentation/html/functions_func.html b/Documentation/html/functions_func.html
index 79f31c2..a0d71c7 100644
--- a/Documentation/html/functions_func.html
+++ b/Documentation/html/functions_func.html
@@ -74,19 +74,36 @@ $(function() {
-
+
- P +
- Neuron.Presets (NanoBrain)
Here is a list of all documented class members with links to the class documentation for each member:
- _ -
- a -
- ActivationType : Neuron +
- activator : Neuron +
- ActivatorBinary() : Neuron +
- ActivatorLinear() : Neuron +
- ActivatorNormalized() : Neuron +
- ActivatorPower() : Neuron +
- ActivatorReciprocal() : Neuron +
- ActivatorSqrt() : Neuron +
- ActivatorTanh() : Neuron
- AddInstance() : Cluster +
- AddReceiver() : Neuron
- AddSynapse() : Neuron
- b -
- baseName : Cluster
- bias : Neuron +
- Binary() : Neuron.Presets
- brain : Brain
- brainPrefab : Brain
- c -
-
+
- CloneFields() : Neuron
- Cluster() : Cluster
- cluster : ClusterPrefab
- CollectReceivers() : Cluster
- CollectSynapsesTo() : Cluster +
- Combinator : Neuron
- combinator : Neuron +
- CombinatorProduct() : Neuron +
- CombinatorSum() : Neuron
- CombinatorType : Neuron
- computeOrders : Cluster +
- curve : Neuron +
- curveMax : Neuron
- d -
@@ -116,6 +135,7 @@ $(function() {- g -
-
+
- GenerateCurve() : Neuron
- GetNeuron() : Cluster
- GetNucleus() : Cluster, ClusterPrefab
- GetNucleusIndex() : Cluster @@ -126,11 +146,14 @@ $(function() {
- lastUpdate : Neuron +
- Linear() : Neuron.Presets
- parent : Nucleus +
- persistOutput : Neuron +
- Power() : Neuron.Presets
- prefab : Cluster
- ProcessStimulus() : Neuron
- receivers : Neuron +
- Reciprocal() : Neuron.Presets
- Refresh() : Cluster
- RefreshComputeOrders() : Cluster
- RefreshOutputs() : Cluster
- RemoveInstance() : Cluster +
- RemoveReceiver() : Neuron
- RemoveSynapse() : Neuron
- SetBias() : Neuron -
- ShallowCloneTo() : Cluster, MemoryCell, Neuron, Nucleus +
- ShallowCloneTo() : Cluster, MemoryCell, Neuron, Nucleus +
- SleepCheck() : Neuron
- Synapse() : Synapse
- synapses : Neuron
- Tanh() : Neuron.Presets
- thingClusters : Cluster +
- timeToSleep : Neuron
- TryGetNucleus() : Cluster
- Type : Nucleus
- UpdateFromNucleus() : Cluster
- UpdateNuclei() : Nucleus -
- UpdateStateIsolated() : Cluster, MemoryCell, Nucleus +
- UpdateStateIsolated() : Cluster, MemoryCell, Neuron, Nucleus
- UpdateWeight() : Brain
- i -
- l -
- o -
- p -
- r -
-
+
- s -
- t -
-
+
- u -
- w -
Here is a list of all documented functions with links to the class documentation for each member:
- a -
-
+
- ActivatorBinary() : Neuron +
- ActivatorLinear() : Neuron +
- ActivatorNormalized() : Neuron +
- ActivatorPower() : Neuron +
- ActivatorReciprocal() : Neuron +
- ActivatorSqrt() : Neuron +
- ActivatorTanh() : Neuron
- AddInstance() : Cluster +
- AddReceiver() : Neuron
- AddSynapse() : Neuron
- b -
-
+
- Binary() : Neuron.Presets +
- c -
-
+
- CloneFields() : Neuron
- Cluster() : Cluster
- CollectReceivers() : Cluster
- CollectSynapsesTo() : Cluster +
- CombinatorProduct() : Neuron +
- CombinatorSum() : Neuron
- d -
@@ -97,6 +114,7 @@ $(function() {- g -
-
+
- GenerateCurve() : Neuron
- GetNeuron() : Cluster
- GetNucleus() : Cluster, ClusterPrefab
- GetNucleusIndex() : Cluster @@ -104,6 +122,11 @@ $(function() {
- l -
-
+
- Linear() : Neuron.Presets +
- m -
- MemoryCell() : MemoryCell
- p -
-
+
- Power() : Neuron.Presets
- ProcessStimulus() : Neuron
- r -
-
+
- Reciprocal() : Neuron.Presets
- Refresh() : Cluster
- RefreshComputeOrders() : Cluster
- RefreshOutputs() : Cluster
- RemoveInstance() : Cluster +
- RemoveReceiver() : Neuron
- RemoveSynapse() : Neuron
- s -
- SetBias() : Neuron -
- ShallowCloneTo() : Cluster, MemoryCell, Neuron, Nucleus +
- ShallowCloneTo() : Cluster, MemoryCell, Neuron, Nucleus +
- SleepCheck() : Neuron
- Synapse() : Synapse
- t -
-
+
- Tanh() : Neuron.Presets
- TryGetNucleus() : Cluster
- u -
- UpdateFromNucleus() : Cluster
- UpdateNuclei() : Nucleus -
- UpdateStateIsolated() : Cluster, MemoryCell, Nucleus +
- UpdateStateIsolated() : Cluster, MemoryCell, Neuron, Nucleus
- UpdateWeight() : Brain
Here is a list of all documented properties with links to the class documentation for each member:
Here is a list of all documented variables with links to the class documentation for each member:
-
+
- _activator : Neuron
- _outputs : Cluster +
- _outputValue : Neuron
- bias : Neuron
- brainPrefab : Brain
- cluster : ClusterPrefab
- combinator : Neuron +
- curve : Neuron +
- curveMax : Neuron
- instanceCount : Cluster
- instances : Cluster
- lastUpdate : Neuron @@ -84,9 +88,12 @@ $(function() {
- neuron : Synapse
- nuclei : Cluster
- parent : Nucleus +
- persistOutput : Neuron
- prefab : Cluster
- thingClusters : Cluster +
- timeToSleep : Neuron
- weight : Synapse +
- WhenFiring : Neuron