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