C# Class Encog.Neural.Networks.Training.Propagation.Propagation

Implements basic functionality that is needed by each of the propagation methods. The specifics of each of the propagation methods is implemented inside of the PropagationMethod interface implementors.

Inheritance: Encog.ML.Train.BasicTraining, ITrain, IMultiThreadable

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Méthodes publiques

Méthode	Description
FinishTraining ( ) : void	Should be called after training has completed and the iteration method will not be called any further.
Iteration ( ) : void	Perform one training iteration.
Iteration ( int count ) : void	Perform the specified number of training iterations. This can be more efficient than single training iterations. This is particularly true if you are training with a GPU.

Méthodes protégées

Méthode	Description
Propagation ( IContainsFlat network, IMLDataSet training ) : System	Construct a propagation object.

Method Details

FinishTraining() public final méthode

Should be called after training has completed and the iteration method will not be called any further.

public final FinishTraining ( ) : void
Résultat	void

Iteration() public final méthode

Perform one training iteration.

public final Iteration ( ) : void
Résultat	void

Iteration() public final méthode

Perform the specified number of training iterations. This can be more efficient than single training iterations. This is particularly true if you are training with a GPU.

public final Iteration ( int count ) : void
count	int	The number of training iterations.
Résultat	void

Propagation() protected méthode

Construct a propagation object.

protected Propagation ( IContainsFlat network, IMLDataSet training ) : System
network	IContainsFlat	The network.
training	IMLDataSet	The training set.
Résultat	System