C# 클래스 Encog.ML.Train.Strategy.RequiredImprovementStrategy

The reset strategy will reset the weights if the neural network fails to improve by the specified amount over a number of cycles.

상속: IStrategy

파일 보기 프로젝트 열기: encog/encog-silverlight-core

공개 메소드들

메소드	설명
Init ( IMLTrain train ) : void	Initialize this strategy.
PostIteration ( ) : void	Called just after a training iteration.
PreIteration ( ) : void	Called just before a training iteration.
RequiredImprovementStrategy ( double required, double threshold, int cycles ) : System	Construct a reset strategy. The error rate must fall below the required rate in the specified number of cycles, or the neural network will be reset to random weights and bias values.
RequiredImprovementStrategy ( double required, int cycles ) : System	Construct a reset strategy. The error rate must fall below the required rate in the specified number of cycles, or the neural network will be reset to random weights and bias values.
RequiredImprovementStrategy ( int cycles ) : System	Reset if there is not at least a 1% improvement for 5 cycles. Don't reset if below 10%.

메소드 상세

Init() 공개 메소드

Initialize this strategy.

public Init ( IMLTrain train ) : void
train	IMLTrain	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

RequiredImprovementStrategy() 공개 메소드

Construct a reset strategy. The error rate must fall below the required rate in the specified number of cycles, or the neural network will be reset to random weights and bias values.

public RequiredImprovementStrategy ( double required, double threshold, int cycles ) : System
required	double	The required error rate.
threshold	double	The accepted threshold, don't reset if error is below this.
cycles	int	The number of cycles to reach that rate.
리턴	System

RequiredImprovementStrategy() 공개 메소드

Construct a reset strategy. The error rate must fall below the required rate in the specified number of cycles, or the neural network will be reset to random weights and bias values.

public RequiredImprovementStrategy ( double required, int cycles ) : System
required	double	The required error rate.
cycles	int	The number of cycles to reach that rate.
리턴	System

RequiredImprovementStrategy() 공개 메소드

Reset if there is not at least a 1% improvement for 5 cycles. Don't reset if below 10%.

public RequiredImprovementStrategy ( int cycles ) : System
cycles	int
리턴	System