C# 클래스 Encog.Engine.Network.Train.Prop.TrainFlatNetworkBackPropagation

Train a flat network, using backpropagation.

상속: TrainFlatNetworkProp

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

공개 메소드들

메소드	설명
TrainFlatNetworkBackPropagation ( FlatNetwork network, IEngineDataSet training, double learningRate, double momentum ) : Encog.Engine.Data	Construct a backprop trainer for flat networks.
UpdateWeight ( double gradients, double lastGradient, int index ) : double	Update a weight.

메소드 상세

TrainFlatNetworkBackPropagation() 공개 메소드

Construct a backprop trainer for flat networks.

public TrainFlatNetworkBackPropagation ( FlatNetwork network, IEngineDataSet training, double learningRate, double momentum ) : Encog.Engine.Data
network	Encog.Engine.Network.Flat.FlatNetwork	The network to train.
training	IEngineDataSet	The training data.
learningRate	double	The learning rate.
momentum	double	The momentum.
리턴	Encog.Engine.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