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

Inheritance: BasicLayer

Public Methods

Method	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.

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

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.
return	INeuralData

Create a persistor for this layer.

public CreatePersistor ( ) : IPersistor
return	IPersistor

Default constructor, mainly so the workbench can easily create a default layer.

public RadialBasisFunctionLayer ( ) : System
return	System

Construct a radial basis function layer.

public RadialBasisFunctionLayer ( int neuronCount ) : System
neuronCount	int	The neuron count.
return	System

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.
return	void

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

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.
return	void

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.
return	void