C# Class Accord.Neuro.ActivationFunctions.GaussianFunction

Inheritance: IStochasticFunction

Datei anzeigen Open project: accord-net/framework Class Usage Examples

Public Methods

Method	Description
Derivative ( double x ) : double	Calculates function derivative. The method calculates function derivative at point x.
Derivative2 ( double y ) : double	Calculates function derivative. The method calculates the same derivative value as the Derivative method, but it takes not the input x value itself, but the function value, which was calculated previously with the help of Function method. Some applications require as function value, as derivative value, so they can save the amount of calculations using this method to calculate derivative.
Function ( double x ) : double	Calculates function value. The method calculates function value at point x.
GaussianFunction ( ) : System	Creates a new GaussianFunction.
GaussianFunction ( double alpha ) : System	Creates a new GaussianFunction.
GaussianFunction ( double alpha, DoubleRange range ) : System	Initializes a new instance of the GaussianFunction class.
Generate ( double x ) : double	Samples a value from the function given a input value.
Generate2 ( double y ) : double	Samples a value from the function given a function output value.

Method Details

Derivative() public method

Calculates function derivative.

The method calculates function derivative at point x.

public Derivative ( double x ) : double
x	double	Function input value.
return	double

Derivative2() public method

Calculates function derivative.

The method calculates the same derivative value as the Derivative method, but it takes not the input x value itself, but the function value, which was calculated previously with the help of Function method.

Some applications require as function value, as derivative value, so they can save the amount of calculations using this method to calculate derivative.

public Derivative2 ( double y ) : double
y	double	Function output value - the value, which was obtained /// with the help of method.
return	double

Function() public method

Calculates function value.

The method calculates function value at point x.

public Function ( double x ) : double
x	double	Function input value.
return	double

GaussianFunction() public method

Creates a new GaussianFunction.

public GaussianFunction ( ) : System
return	System

GaussianFunction() public method

Creates a new GaussianFunction.

public GaussianFunction ( double alpha ) : System
alpha	double	The linear slope value. Default is 1.
return	System

GaussianFunction() public method

Initializes a new instance of the GaussianFunction class.

public GaussianFunction ( double alpha, DoubleRange range ) : System
alpha	double
range	AForge.DoubleRange
return	System

Generate() public method

Samples a value from the function given a input value.

public Generate ( double x ) : double
x	double	Function input value.
return	double

Generate2() public method

Samples a value from the function given a function output value.

public Generate2 ( double y ) : double
y	double	Function output value - the value, which was obtained /// with the help of method.
return	double