C# Class Encog.Neural.Networks.Training.Genetic.NeuralGeneticAlgorithm

Inheritance: BasicTraining, IMultiThreadable

Afficher le fichier Open project: encog/encog-silverlight-core Class Usage Examples

Méthodes publiques

Méthode	Description
Iteration ( ) : void	Perform one training iteration.
NeuralGeneticAlgorithm ( BasicNetwork network, IRandomizer randomizer, ICalculateScore calculateScore, int populationSize, double mutationPercent, double percentToMate ) : Encog.MathUtil.Randomize	Construct a neural genetic algorithm.
Pause ( ) : TrainingContinuation
Resume ( TrainingContinuation state ) : void

Method Details

Iteration() public final méthode

Perform one training iteration.

public final Iteration ( ) : void
Résultat	void

NeuralGeneticAlgorithm() public méthode

Construct a neural genetic algorithm.

public NeuralGeneticAlgorithm ( BasicNetwork network, IRandomizer randomizer, ICalculateScore calculateScore, int populationSize, double mutationPercent, double percentToMate ) : Encog.MathUtil.Randomize
network	BasicNetwork	The network to base this on.
randomizer	IRandomizer	The randomizer used to create this initial population.
calculateScore	ICalculateScore	The score calculation object.
populationSize	int	The population size.
mutationPercent	double	The percent of offspring to mutate.
percentToMate	double	The percent of the population allowed to mate.
Résultat	Encog.MathUtil.Randomize

Pause() public final méthode

public final Pause ( ) : TrainingContinuation
Résultat	TrainingContinuation

Resume() public final méthode

public final Resume ( TrainingContinuation state ) : void
state	TrainingContinuation
Résultat	void