C# Class Encog.Neural.Rbf.Training.SVDTraining

Inheritance: BasicTraining

显示文件 Open project: encog/encog-silverlight-core Class Usage Examples

Public Methods

Method	Description
FlatToMatrix ( double flat, int start, double matrix ) : void	Convert a flat network to a matrix.
Iteration ( ) : void	Perform one iteration.
MatrixToFlat ( double matrix, double flat, int start ) : void	Convert the matrix to flat.
Pause ( ) : TrainingContinuation
Resume ( TrainingContinuation state ) : void
SVDTraining ( RBFNetwork network_0, IMLDataSet training ) : Encog.MathUtil.RBF	Construct the training object.

Method Details

FlatToMatrix() public method

Convert a flat network to a matrix.

public FlatToMatrix ( double flat, int start, double matrix ) : void
flat	double	The flat network to convert.
start	int	The starting point.
matrix	double	The matrix to convert to.
return	void

Iteration() public final method

Perform one iteration.

public final Iteration ( ) : void
return	void

MatrixToFlat() public method

Convert the matrix to flat.

public MatrixToFlat ( double matrix, double flat, int start ) : void
matrix	double	The matrix.
flat	double	Flat array.
start	int	WHere to start.
return	void

Pause() public method

public Pause ( ) : TrainingContinuation
return	Encog.Neural.Networks.Training.Propagation.TrainingContinuation

Resume() public method

public Resume ( TrainingContinuation state ) : void
state	Encog.Neural.Networks.Training.Propagation.TrainingContinuation
return	void

SVDTraining() public method

Construct the training object.

public SVDTraining ( RBFNetwork network_0, IMLDataSet training ) : Encog.MathUtil.RBF
network_0	Encog.Neural.RBF.RBFNetwork	The network to train. Must have a single output neuron.
training	IMLDataSet	The training data to use. Must be indexable.
return	Encog.MathUtil.RBF