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

Train a network using scaled conjugate gradient.

Inheritance: TrainFlatNetworkProp

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Méthodes publiques

Méthode	Description
CalculateGradients ( ) : void	Calculate the gradients. They are normalized as well.
InitOthers ( ) : void	Not needed for this training type.
Iteration ( ) : void	Perform one iteration.
TrainFlatNetworkSCG ( FlatNetwork network, IMLDataSet training ) : System	Construct the training object.
UpdateWeight ( double gradients, double lastGradient, int index ) : double	Update the weights.

Private Methods

Méthode	Description
Init ( ) : void	Calculate the starting set of gradients.

Method Details

CalculateGradients() public méthode

Calculate the gradients. They are normalized as well.

public CalculateGradients ( ) : void
Résultat	void

InitOthers() public méthode

Not needed for this training type.

public InitOthers ( ) : void
Résultat	void

Iteration() public méthode

Perform one iteration.

public Iteration ( ) : void
Résultat	void

TrainFlatNetworkSCG() public méthode

Construct the training object.

public TrainFlatNetworkSCG ( FlatNetwork network, IMLDataSet training ) : System
network	FlatNetwork	The network to train.
training	IMLDataSet	The training data to use.
Résultat	System

UpdateWeight() public méthode

Update the weights.

public UpdateWeight ( double gradients, double lastGradient, int index ) : double
gradients	double	The current gradients.
lastGradient	double	The last gradients.
index	int	The weight index being updated.
Résultat	double