C# Class Encog.Neural.Flat.Train.Prop.TrainFlatNetworkResilient

Inheritance: TrainFlatNetworkProp

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

Méthodes publiques

Méthode	Description
InitOthers ( ) : void	Not needed for this training type.
TrainFlatNetworkResilient ( FlatNetwork flat, IMLDataSet trainingSet ) : System	Tran a network using RPROP.
TrainFlatNetworkResilient ( FlatNetwork network, IMLDataSet training, double zeroTolerance, double initialUpdate, double maxStep ) : System	Construct a resilient trainer for flat networks.
UpdateWeight ( double gradients, double lastGradient, int index ) : double	Calculate the amount to change the weight by.
UpdateWeightMinus ( double gradients, double lastGradient, int index ) : double
UpdateWeightPlus ( double gradients, double lastGradient, int index ) : double
UpdateiWeightMinus ( double gradients, double lastGradient, int index ) : double
UpdateiWeightPlus ( double gradients, double lastGradient, int index ) : double

Private Methods

Méthode	Description
Sign ( double v ) : int	Determine the sign of the value.

Method Details

InitOthers() public méthode

Not needed for this training type.

public InitOthers ( ) : void
Résultat	void

TrainFlatNetworkResilient() public méthode

Tran a network using RPROP.

public TrainFlatNetworkResilient ( FlatNetwork flat, IMLDataSet trainingSet ) : System
flat	Encog.Neural.Flat.FlatNetwork	The network to train.
trainingSet	IMLDataSet	The training data to use.
Résultat	System

TrainFlatNetworkResilient() public méthode

Construct a resilient trainer for flat networks.

public TrainFlatNetworkResilient ( FlatNetwork network, IMLDataSet training, double zeroTolerance, double initialUpdate, double maxStep ) : System
network	Encog.Neural.Flat.FlatNetwork	The network to train.
training	IMLDataSet	The training data to use.
zeroTolerance	double	How close a number should be to zero to be counted as zero.
initialUpdate	double	The initial update value.
maxStep	double	The maximum step value.
Résultat	System

UpdateWeight() public méthode

Calculate the amount to change the weight by.

public UpdateWeight ( double gradients, double lastGradient, int index ) : double
gradients	double	The gradients.
lastGradient	double	The last gradients.
index	int	The index to update.
Résultat	double

UpdateWeightMinus() public méthode

public UpdateWeightMinus ( double gradients, double lastGradient, int index ) : double
gradients	double
lastGradient	double
index	int
Résultat	double

UpdateWeightPlus() public méthode

public UpdateWeightPlus ( double gradients, double lastGradient, int index ) : double
gradients	double
lastGradient	double
index	int
Résultat	double

UpdateiWeightMinus() public méthode

public UpdateiWeightMinus ( double gradients, double lastGradient, int index ) : double
gradients	double
lastGradient	double
index	int
Résultat	double

UpdateiWeightPlus() public méthode

public UpdateiWeightPlus ( double gradients, double lastGradient, int index ) : double
gradients	double
lastGradient	double
index	int
Résultat	double