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

Inheritance: BasicTraining

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

Méthodes publiques

Méthode	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 méthode

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.
Résultat	void

Iteration() public final méthode

Perform one iteration.

public final Iteration ( ) : void
Résultat	void

MatrixToFlat() public méthode

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.
Résultat	void

Pause() public méthode

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

Resume() public méthode

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

SVDTraining() public méthode

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.
Résultat	Encog.MathUtil.RBF