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

Наследование: BasicTraining, IMultiThreadable

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Открытые методы

Метод	Описание
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

Описание методов

Iteration() публичный закрытый Метод

Perform one training iteration.

public final Iteration ( ) : void
Результат	void

NeuralGeneticAlgorithm() публичный Метод

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.
Результат	Encog.MathUtil.Randomize

Pause() публичный закрытый Метод

public final Pause ( ) : TrainingContinuation
Результат	TrainingContinuation

Resume() публичный закрытый Метод

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