• 홈
• Encog
• Neural
• Networks
• Training
• NEAT
• NEATGenome

C# 클래스 Encog.Neural.Networks.Training.NEAT.NEATGenome

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

공개 프로퍼티들

프로퍼티	타입	설명
TWEAK_DISJOINT	double

공개 메소드들

메소드	설명
AddLink ( double mutationRate, double chanceOfLooped, int numTrysToFindLoop, int numTrysToAddLink ) : void	Mutate the genome by adding a link to this genome.
AddNeuron ( double mutationRate, int numTrysToFindOldLink ) : void	Mutate the genome by adding a neuron.
AlreadyHaveThisNeuronID ( long id ) : bool	Do we already have this neuron id?
Decode ( ) : void	Convert the genes to an actual network.
Encode ( ) : void	Convert the network to genes. Not currently supported.
GetCompatibilityScore ( NEATGenome genome ) : double	Get the compatibility score with another genome. Used to determine species.
GetSplitY ( int nd ) : double	Get the specified split y.
IsDuplicateLink ( long fromNeuronID, long toNeuronID ) : bool	Determine if this is a duplicate link.
MutateActivationResponse ( double mutateRate, double maxPertubation ) : void	Mutate the activation response.
MutateWeights ( double mutateRate, double probNewMutate, double maxPertubation ) : void	Mutate the weights.
NEATGenome ( ) : System	Default constructor.
NEATGenome ( NEATGenome other ) : System	Construct a genome by copying another.
NEATGenome ( Encog.Neural.Networks.Training.NEAT.NEATTraining training, long genomeID, Chromosome neurons, Chromosome links, int inputCount, int outputCount ) : System	Create a NEAT gnome.
NEATGenome ( Encog.Neural.Networks.Training.NEAT.NEATTraining training, long id, int inputCount, int outputCount ) : System	Construct a genome, do not provide links and neurons.
SortGenes ( ) : void	Sort the genes.
ToString ( ) : String	This genome as a string.

비공개 메소드들

메소드	설명
ChooseRandomNeuron ( bool includeInput ) : NEATNeuronGene	Choose a random neuron.
GetElementPos ( long neuronID ) : int	Get the specified neuron's index.

메소드 상세

프로퍼티 상세