C# Class Encog.Neural.Networks.Layers.RadialBasisFunctionLayer

Inheritance: BasicLayer
Afficher le fichier Open project: encog/encog-silverlight-core Class Usage Examples

Méthodes publiques

Méthode Description
Compute ( INeuralData pattern ) : INeuralData

Compute the values before sending output to the next layer. This function allows the activation functions to be called.
CreatePersistor ( ) : IPersistor

Create a persistor for this layer.
RadialBasisFunctionLayer ( ) : System

Default constructor, mainly so the workbench can easily create a default layer.
RadialBasisFunctionLayer ( int neuronCount ) : System

Construct a radial basis function layer.
RandomizeRBFCentersAndWidths ( int dimensions, double min, double max, RBFEnum t ) : void

Set the gausian components to random values.
SaveOutNeuronCentersAndWeights ( double centers, double widths ) : void
SetRBFCentersAndWidths ( double centers, double widths, RBFEnum RBFType ) : void

Specify specific centers and widths for the provided RBFType
SetRBFCentersAndWidthsEqualSpacing ( double minPosition, double maxPosition, RBFEnum RBFType, int dimensions, double volumeNeuronRBFWidth, bool useWideEdgeRBFs ) : void

Equally spaces all hidden neurons within the n dimensional variable space.

Private Methods

Méthode Description
SetRBFFunction ( int RBFIndex, RBFEnum RBFType, double centers, double width ) : void

Method Details

Compute() public méthode

Compute the values before sending output to the next layer. This function allows the activation functions to be called.
public Compute ( INeuralData pattern ) : INeuralData
pattern INeuralData The incoming Project.
Résultat INeuralData

CreatePersistor() public méthode

Create a persistor for this layer.
public CreatePersistor ( ) : IPersistor
Résultat IPersistor

RadialBasisFunctionLayer() public méthode

Default constructor, mainly so the workbench can easily create a default layer.
public RadialBasisFunctionLayer ( ) : System
Résultat System

RadialBasisFunctionLayer() public méthode

Construct a radial basis function layer.
public RadialBasisFunctionLayer ( int neuronCount ) : System
neuronCount int The neuron count.
Résultat System

RandomizeRBFCentersAndWidths() public méthode

Set the gausian components to random values.
public RandomizeRBFCentersAndWidths ( int dimensions, double min, double max, RBFEnum t ) : void
dimensions int The number of dimensions in the network.
min double The minimum value for the centers, widths and peaks.
max double The maximum value for the centers, widths and peaks.
t RBFEnum The RBF to use.
Résultat void

SaveOutNeuronCentersAndWeights() public méthode

public SaveOutNeuronCentersAndWeights ( double centers, double widths ) : void
centers double
widths double
Résultat void

SetRBFCentersAndWidths() public méthode

Specify specific centers and widths for the provided RBFType
public SetRBFCentersAndWidths ( double centers, double widths, RBFEnum RBFType ) : void
centers double Array containing center position. Row n contains centers for neuron n. Row n contains x elements for x number of dimensions.
widths double Array containing widths. Row n contains widths for neuron n. Row n contains x elements for x number of dimensions.
RBFType RBFEnum The RBF Function to use for this layer.
Résultat void

SetRBFCentersAndWidthsEqualSpacing() public méthode

Equally spaces all hidden neurons within the n dimensional variable space.
public SetRBFCentersAndWidthsEqualSpacing ( double minPosition, double maxPosition, RBFEnum RBFType, int dimensions, double volumeNeuronRBFWidth, bool useWideEdgeRBFs ) : void
minPosition double The minimum position neurons should be centered. Typically 0.
maxPosition double The maximum position neurons should be centered. Typically 1
RBFType RBFEnum The RBF type to use.
dimensions int The number of dimensions.
volumeNeuronRBFWidth double The neuron width of neurons within the mesh.
useWideEdgeRBFs bool Enables wider RBF's around the boundary of the neuron mesh.
Résultat void