C# 클래스 Encog.Neural.RBF.RBFNetwork

상속: Encog.ML.BasicML, IMLError, IMLRegression, IContainsFlat

공개 메소드들

메소드	설명
CalculateError ( IMLDataSet data ) : double	Calculate the error for this neural network.
Compute ( IMLData input ) : IMLData
RBFNetwork ( ) : System	Construct RBF network.
RBFNetwork ( int inputCount, int outputCount, IRadialBasisFunction rbf ) : System	Construct RBF network.
RBFNetwork ( int inputCount, int hiddenCount, int outputCount, RBFEnum t ) : System	Construct RBF network.
RandomizeRBFCentersAndWidths ( double min, double max, RBFEnum t ) : void	Set the RBF components to random values.
SetRBFCentersAndWidths ( double centers, double widths, RBFEnum t ) : void	Array containing center position. Row n contains centers for neuron n. Row n contains x elements for x number of dimensions.
SetRBFCentersAndWidthsEqualSpacing ( double minPosition, double maxPosition, RBFEnum t, double volumeNeuronRBFWidth, bool useWideEdgeRBFs ) : void	Equally spaces all hidden neurons within the n dimensional variable space.
SetRBFFunction ( int index, RBFEnum t, double centers, double width ) : void	Set an RBF function.
UpdateProperties ( ) : void

Calculate the error for this neural network.

public CalculateError ( IMLDataSet data ) : double
data	IMLDataSet	The training set.
리턴	double

public Compute ( IMLData input ) : IMLData
input	IMLData
리턴	IMLData

Construct RBF network.

public RBFNetwork ( ) : System
리턴	System

Construct RBF network.

public RBFNetwork ( int inputCount, int outputCount, IRadialBasisFunction rbf ) : System
inputCount	int	The input count.
outputCount	int	The output count.
rbf	IRadialBasisFunction	The RBF type.
리턴	System

Construct RBF network.

public RBFNetwork ( int inputCount, int hiddenCount, int outputCount, RBFEnum t ) : System
inputCount	int	The input count.
hiddenCount	int	The hidden count.
outputCount	int	The output count.
t	RBFEnum	The RBF type.
리턴	System

Set the RBF components to random values.

public RandomizeRBFCentersAndWidths ( double min, double max, RBFEnum t ) : void
min	double	Minimum random value.
max	double	Max random value.
t	RBFEnum	The type of RBF to use.
리턴	void

Array containing center position. Row n contains centers for neuron n. Row n contains x elements for x number of dimensions.

public SetRBFCentersAndWidths ( double centers, double widths, RBFEnum t ) : void
centers	double	The centers.
widths	double
t	RBFEnum	The RBF Function to use for this layer.
리턴	void

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

public SetRBFCentersAndWidthsEqualSpacing ( double minPosition, double maxPosition, RBFEnum t, 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
t	RBFEnum	The RBF type.
volumeNeuronRBFWidth	double	The neuron width of neurons within the mesh.
useWideEdgeRBFs	bool	Enables wider RBF's around the boundary of the neuron mesh.
리턴	void

Set an RBF function.

public SetRBFFunction ( int index, RBFEnum t, double centers, double width ) : void
index	int	The index to set.
t	RBFEnum	The function type.
centers	double	The centers.
width	double	The width.
리턴	void

public UpdateProperties ( ) : void
리턴	void