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

상속: TrainFlatNetworkProp

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

공개 메소드들

메소드	설명
InitOthers ( ) : void	Not needed for this training type.
TrainFlatNetworkBackPropagation ( FlatNetwork network, IMLDataSet training, double theLearningRate, double theMomentum ) : Encog.ML.Data	Construct a backprop trainer for flat networks.
UpdateWeight ( double gradients, double lastGradient, int index ) : double	Update a weight.

메소드 상세

InitOthers() 공개 메소드

Not needed for this training type.

public InitOthers ( ) : void
리턴	void

TrainFlatNetworkBackPropagation() 공개 메소드

Construct a backprop trainer for flat networks.

public TrainFlatNetworkBackPropagation ( FlatNetwork network, IMLDataSet training, double theLearningRate, double theMomentum ) : Encog.ML.Data
network	Encog.Neural.Flat.FlatNetwork	The network to train.
training	IMLDataSet	The training data.
theLearningRate	double	The learning rate.
theMomentum	double	The momentum.
리턴	Encog.ML.Data

UpdateWeight() 공개 최종 메소드

Update a weight.

public final UpdateWeight ( double gradients, double lastGradient, int index ) : double
gradients	double	The gradients.
lastGradient	double	The last gradients.
index	int	The index.
리턴	double