C# 클래스 Encog.Neural.Networks.Training.Strategy.Greedy

A simple greedy strategy. If the last iteration did not improve training, then discard it. Care must be taken with this strategy, as sometimes a training algorithm may need to temporarily decrease the error level before improving it.
상속: IStrategy
파일 보기 프로젝트 열기: encog/encog-silverlight-core

공개 메소드들

메소드 설명
Init ( ITrain train ) : void

Initialize this strategy.
PostIteration ( ) : void

Called just after a training iteration.
PreIteration ( ) : void

Called just before a training iteration.

메소드 상세

Init() 공개 메소드

Initialize this strategy.
public Init ( ITrain train ) : void
train ITrain The training algorithm.
리턴 void

PostIteration() 공개 메소드

Called just after a training iteration.
public PostIteration ( ) : void
리턴 void

PreIteration() 공개 메소드

Called just before a training iteration.
public PreIteration ( ) : void
리턴 void