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

상속: TrainFlatNetworkProp

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

공개 메소드들

메소드	설명
InitOthers ( ) : void	Called to init the QPROP.
TrainFlatNetworkQPROP ( FlatNetwork network, IMLDataSet training, double theLearningRate ) : Encog.ML.Data	Construct a QPROP trainer for flat networks.
UpdateWeight ( double gradients, double lastGradient, int index ) : double	Update a weight.

메소드 상세

InitOthers() 공개 메소드

Called to init the QPROP.

public InitOthers ( ) : void
리턴	void

TrainFlatNetworkQPROP() 공개 메소드

Construct a QPROP trainer for flat networks.

public TrainFlatNetworkQPROP ( FlatNetwork network, IMLDataSet training, double theLearningRate ) : Encog.ML.Data
network	Encog.Neural.Flat.FlatNetwork	The network to train.
training	IMLDataSet	The training data.
theLearningRate	double	The learning rate. 2 is a good suggestion as /// a learning rate to start with. If it fails to converge, /// then drop it. Just like backprop, except QPROP can /// take higher learning rates.
리턴	Encog.ML.Data

UpdateWeight() 공개 메소드

Update a weight.

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