C# 클래스 SharpNeat.Network.RbfGaussian

Gaussian activation function. Output range is 0 to 1, that is, the tails of the gaussian distribution curve tend towards 0 as abs(x) -> Infinity and the gaussian's peak is at x = 0.

상속: IActivationFunction

파일 보기 프로젝트 열기: colgreen/sharpneat

공개 프로퍼티들

프로퍼티	타입	설명
__DefaultInstance	IActivationFunction

공개 메소드들

메소드	설명
Calculate ( double x, double auxArgs ) : double	Calculates the output value for the specified input value and activation function auxiliary arguments.
Calculate ( float x, float auxArgs ) : float	Calculates the output value for the specified input value and activation function auxiliary arguments. This single precision overload of Calculate() will be used in neural network code that has been specifically written to use floats instead of doubles.
GetRandomAuxArgs ( XorShiftRandom rng, double connectionWeightRange ) : double[]	For activation functions that accept auxiliary arguments; generates random initial values for aux arguments for newly added nodes (from an 'add neuron' mutation).
MutateAuxArgs ( double auxArgs, XorShiftRandom rng, SharpNeat.Utility.ZigguratGaussianSampler gaussianSampler, double connectionWeightRange ) : void	Genetic mutation for auxiliary argument data.
RbfGaussian ( double auxArgsMutationSigmaCenter, double auxArgsMutationSigmaRadius ) : System	Construct with the specified radial basis function auxiliary arguments.

메소드 상세

Calculate() 공개 메소드

Calculates the output value for the specified input value and activation function auxiliary arguments.

public Calculate ( double x, double auxArgs ) : double
x	double
auxArgs	double
리턴	double

Calculate() 공개 메소드

Calculates the output value for the specified input value and activation function auxiliary arguments. This single precision overload of Calculate() will be used in neural network code that has been specifically written to use floats instead of doubles.

public Calculate ( float x, float auxArgs ) : float
x	float
auxArgs	float
리턴	float

GetRandomAuxArgs() 공개 메소드

For activation functions that accept auxiliary arguments; generates random initial values for aux arguments for newly added nodes (from an 'add neuron' mutation).

public GetRandomAuxArgs ( XorShiftRandom rng, double connectionWeightRange ) : double[]
rng	XorShiftRandom
connectionWeightRange	double
리턴	double[]

MutateAuxArgs() 공개 메소드

Genetic mutation for auxiliary argument data.

public MutateAuxArgs ( double auxArgs, XorShiftRandom rng, SharpNeat.Utility.ZigguratGaussianSampler gaussianSampler, double connectionWeightRange ) : void
auxArgs	double
rng	XorShiftRandom
gaussianSampler	SharpNeat.Utility.ZigguratGaussianSampler
connectionWeightRange	double
리턴	void

RbfGaussian() 공개 메소드

Construct with the specified radial basis function auxiliary arguments.

public RbfGaussian ( double auxArgsMutationSigmaCenter, double auxArgsMutationSigmaRadius ) : System
auxArgsMutationSigmaCenter	double	Radial basis function center.
auxArgsMutationSigmaRadius	double	Radial basis function radius.
리턴	System

프로퍼티 상세

__DefaultInstance 공개적으로 정적으로 프로퍼티

Default instance provided as a public static field.

public static IActivationFunction __DefaultInstance
리턴	IActivationFunction