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

Inheritance: Encog.Solve.Genetic.Genome.BasicGenome

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

Méthodes publiques

Свойство	Type	Description
TWEAK_DISJOINT	double

Méthodes publiques

Méthode	Description
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.

Private Methods

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

Method Details

AddLink() public méthode

Mutate the genome by adding a link to this genome.

public AddLink ( double mutationRate, double chanceOfLooped, int numTrysToFindLoop, int numTrysToAddLink ) : void
mutationRate	double	The mutation rate.
chanceOfLooped	double	The chance of a self-connected neuron.
numTrysToFindLoop	int	The number of tries to find a loop.
numTrysToAddLink	int	The number of tries to add a link.
Résultat	void

AddNeuron() public méthode

Mutate the genome by adding a neuron.

public AddNeuron ( double mutationRate, int numTrysToFindOldLink ) : void
mutationRate	double	The mutation rate.
numTrysToFindOldLink	int	The number of tries to find a link to split.
Résultat	void

AlreadyHaveThisNeuronID() public méthode

Do we already have this neuron id?

public AlreadyHaveThisNeuronID ( long id ) : bool
id	long	The id to check for.
Résultat	bool

Decode() public méthode

Convert the genes to an actual network.

public Decode ( ) : void
Résultat	void

Encode() public méthode

Convert the network to genes. Not currently supported.

public Encode ( ) : void
Résultat	void

GetCompatibilityScore() public méthode

Get the compatibility score with another genome. Used to determine species.

public GetCompatibilityScore ( NEATGenome genome ) : double
genome	NEATGenome	The other genome.
Résultat	double

GetSplitY() public méthode

Get the specified split y.

public GetSplitY ( int nd ) : double
nd	int	The neuron.
Résultat	double

IsDuplicateLink() public méthode

Determine if this is a duplicate link.

public IsDuplicateLink ( long fromNeuronID, long toNeuronID ) : bool
fromNeuronID	long	The from neuron id.
toNeuronID	long	The to neuron id.
Résultat	bool

MutateActivationResponse() public méthode

Mutate the activation response.

public MutateActivationResponse ( double mutateRate, double maxPertubation ) : void
mutateRate	double	The mutation rate.
maxPertubation	double	The maximum to perturb it by.
Résultat	void

MutateWeights() public méthode

Mutate the weights.

public MutateWeights ( double mutateRate, double probNewMutate, double maxPertubation ) : void
mutateRate	double	The mutation rate.
probNewMutate	double	The probability of a whole new weight.
maxPertubation	double	The max perturbation.
Résultat	void

NEATGenome() public méthode

Default constructor.

public NEATGenome ( ) : System
Résultat	System

NEATGenome() public méthode

Construct a genome by copying another.

public NEATGenome ( NEATGenome other ) : System
other	NEATGenome	The other genome.
Résultat	System

NEATGenome() public méthode

Create a NEAT gnome.

public NEATGenome ( Encog.Neural.Networks.Training.NEAT.NEATTraining training, long genomeID, Chromosome neurons, Chromosome links, int inputCount, int outputCount ) : System
training	Encog.Neural.Networks.Training.NEAT.NEATTraining	The owner object.
genomeID	long	The genome id.
neurons	Encog.Solve.Genetic.Genome.Chromosome	The neurons.
links	Encog.Solve.Genetic.Genome.Chromosome	The links.
inputCount	int	The input count.
outputCount	int	The output count.
Résultat	System

NEATGenome() public méthode

Construct a genome, do not provide links and neurons.

public NEATGenome ( Encog.Neural.Networks.Training.NEAT.NEATTraining training, long id, int inputCount, int outputCount ) : System
training	Encog.Neural.Networks.Training.NEAT.NEATTraining	The owner object.
id	long	The genome id.
inputCount	int	The input count.
outputCount	int	The output count.
Résultat	System

SortGenes() public méthode

Sort the genes.

public SortGenes ( ) : void
Résultat	void

ToString() public méthode

This genome as a string.

public ToString ( ) : String
Résultat	String

Property Details

TWEAK_DISJOINT public_oe static_oe property

The adjustment factor for disjoint genes.

public static double TWEAK_DISJOINT
Résultat	double