C# 클래스 AForge.Neuro.SigmoidFunction

Sigmoid activation function.

The class represents sigmoid activation function with the next expression: 1 f(x) = ------------------ 1 + exp(-alpha * x) alpha * exp(-alpha * x ) f'(x) = ---------------------------- = alpha * f(x) * (1 - f(x)) (1 + exp(-alpha * x))^2

Output range of the function: [0, 1].

Functions graph:

상속: IActivationFunction

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공개 메소드들

메소드	설명
Clone ( ) : object	Creates a new object that is a copy of the current instance.
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.
SigmoidFunction ( ) : System	Initializes a new instance of the SigmoidFunction class.
SigmoidFunction ( double alpha ) : System	Initializes a new instance of the SigmoidFunction class.

메소드 상세

Clone() 공개 메소드

Creates a new object that is a copy of the current instance.

public Clone ( ) : object
리턴	object

Derivative() 공개 메소드

Calculates function derivative.

The method calculates function derivative at point x.

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

Derivative2() 공개 메소드

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.
리턴	double

Function() 공개 메소드

Calculates function value.

The method calculates function value at point x.

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

SigmoidFunction() 공개 메소드

Initializes a new instance of the SigmoidFunction class.

public SigmoidFunction ( ) : System
리턴	System

SigmoidFunction() 공개 메소드

Initializes a new instance of the SigmoidFunction class.

public SigmoidFunction ( double alpha ) : System
alpha	double	Sigmoid's alpha value.
리턴	System