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

Train a network using scaled conjugate gradient.

상속: TrainFlatNetworkProp

파일 보기 프로젝트 열기: encog/encog-silverlight-core 1 사용 예제들

공개 메소드들

메소드	설명
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.

비공개 메소드들

메소드	설명
Init ( ) : void	Calculate the starting set of gradients.

메소드 상세

CalculateGradients() 공개 메소드

Calculate the gradients. They are normalized as well.

public CalculateGradients ( ) : void
리턴	void

InitOthers() 공개 메소드

Not needed for this training type.

public InitOthers ( ) : void
리턴	void

Iteration() 공개 메소드

Perform one iteration.

public Iteration ( ) : void
리턴	void

TrainFlatNetworkSCG() 공개 메소드

Construct the training object.

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

UpdateWeight() 공개 메소드

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.
리턴	double