C# Класс 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.

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

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Открытые методы

Метод	Описание
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.

Защищенные методы

Метод	Описание
Propagation ( IContainsFlat network, IMLDataSet training ) : System	Construct a propagation object.

Описание методов

FinishTraining() публичный закрытый Метод

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

public final FinishTraining ( ) : void
Результат	void

Iteration() публичный закрытый Метод

Perform one training iteration.

public final Iteration ( ) : void
Результат	void

Iteration() публичный закрытый Метод

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.
Результат	void

Propagation() защищенный Метод

Construct a propagation object.

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