C# Class 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.

Inheritance: IStrategy

Afficher le fichier Open project: encog/encog-silverlight-core

Méthodes publiques

Méthode	Description
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%.

Method Details

Init() public méthode

Initialize this strategy.

public Init ( IMLTrain train ) : void
train	IMLTrain	The training algorithm.
Résultat	void

PostIteration() public méthode

Called just after a training iteration.

public PostIteration ( ) : void
Résultat	void

PreIteration() public méthode

Called just before a training iteration.

public PreIteration ( ) : void
Résultat	void

RequiredImprovementStrategy() public méthode

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.
Résultat	System

RequiredImprovementStrategy() public méthode

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.
Résultat	System

RequiredImprovementStrategy() public méthode

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
Résultat	System