C# 클래스 Accord.Neuro.ActivationFunctions.GaussianFunction

상속: IStochasticFunction
파일 보기 프로젝트 열기: accord-net/framework 1 사용 예제들

공개 메소드들

메소드 설명
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.

메소드 상세

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

GaussianFunction() 공개 메소드

Creates a new GaussianFunction.
public GaussianFunction ( ) : System
리턴 System

GaussianFunction() 공개 메소드

Creates a new GaussianFunction.
public GaussianFunction ( double alpha ) : System
alpha double The linear slope value. Default is 1.
리턴 System

GaussianFunction() 공개 메소드

Initializes a new instance of the GaussianFunction class.
public GaussianFunction ( double alpha, DoubleRange range ) : System
alpha double
range AForge.DoubleRange
리턴 System

Generate() 공개 메소드

Samples a value from the function given a input value.
public Generate ( double x ) : double
x double Function input value.
리턴 double

Generate2() 공개 메소드

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.
리턴 double