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

상속: BasicTraining, IMultiThreadable

파일 보기 프로젝트 열기: encog/encog-silverlight-core 1 사용 예제들

공개 메소드들

메소드	설명
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

메소드 상세

Iteration() 공개 최종 메소드

Perform one training iteration.

public final Iteration ( ) : void
리턴	void

NeuralGeneticAlgorithm() 공개 메소드

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.
리턴	Encog.MathUtil.Randomize

Pause() 공개 최종 메소드

public final Pause ( ) : TrainingContinuation
리턴	TrainingContinuation

Resume() 공개 최종 메소드

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