C# Class 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.

Inheritance: IActivationFunction

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Public Properties

Property	Type	Description
__DefaultInstance	IActivationFunction

Public Methods

Method	Description
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.

Method Details

Calculate() public method

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
return	double

Calculate() public method

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
return	float

GetRandomAuxArgs() public method

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
return	double[]

MutateAuxArgs() public method

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
return	void

RbfGaussian() public method

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.
return	System

Property Details

__DefaultInstance public_oe static_oe property

Default instance provided as a public static field.

public static IActivationFunction __DefaultInstance
return	IActivationFunction