C# 클래스 Encog.Neural.Networks.Training.Propagation.Manhattan.ManhattanPropagation

상속: Encog.Neural.Networks.Training.Propagation.Propagation, ILearningRate
파일 보기 프로젝트 열기: encog/encog-silverlight-core 1 사용 예제들

공개 메소드들

메소드 설명
ManhattanPropagation ( IContainsFlat network, IMLDataSet training, double learnRate ) : Encog.ML.Data

Construct a Manhattan propagation training object.
Pause ( ) : TrainingContinuation

This training type does not support training continue.
Resume ( TrainingContinuation state ) : void

This training type does not support training continue.

메소드 상세

ManhattanPropagation() 공개 메소드

Construct a Manhattan propagation training object.
public ManhattanPropagation ( IContainsFlat network, IMLDataSet training, double learnRate ) : Encog.ML.Data
network IContainsFlat The network to train.
training IMLDataSet The training data to use.
learnRate double The learning rate.
리턴 Encog.ML.Data

Pause() 공개 최종 메소드

This training type does not support training continue.
public final Pause ( ) : TrainingContinuation
리턴 Encog.Neural.Networks.Training.Propagation.TrainingContinuation

Resume() 공개 최종 메소드

This training type does not support training continue.
public final Resume ( TrainingContinuation state ) : void
state Encog.Neural.Networks.Training.Propagation.TrainingContinuation Not used.
리턴 void