C# Class SharpNeat.Network.SteepenedSigmoid

Sigmoid activation function with a steeper curve than the PlainSimple function.

Inheritance: IActivationFunction

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Méthodes publiques

Свойство	Type	Description
__DefaultInstance	IActivationFunction

Méthodes publiques

Méthode	Description
Calculate ( double x, double auxArgs ) : double	Calculates the output value for the specified input value and optional activation function auxiliary arguments.
Calculate ( float x, float auxArgs ) : float	Calculates the output value for the specified input value and optional 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, ZigguratGaussianSampler gaussianSampler, double connectionWeightRange ) : void	Genetic mutation for auxiliary argument data.

Method Details

Calculate() public méthode

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

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

Calculate() public méthode

Calculates the output value for the specified input value and optional 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
Résultat	float

GetRandomAuxArgs() public méthode

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	Redzen.Numerics.XorShiftRandom
connectionWeightRange	double
Résultat	double[]

MutateAuxArgs() public méthode

Genetic mutation for auxiliary argument data.

public MutateAuxArgs ( double auxArgs, XorShiftRandom rng, ZigguratGaussianSampler gaussianSampler, double connectionWeightRange ) : void
auxArgs	double
rng	Redzen.Numerics.XorShiftRandom
gaussianSampler	ZigguratGaussianSampler
connectionWeightRange	double
Résultat	void

Property Details

__DefaultInstance public_oe static_oe property

Default instance provided as a public static field.

public static IActivationFunction __DefaultInstance
Résultat	IActivationFunction