org.vizzini.ai.neuralnetwork.function
Class SigmoidFunction

java.lang.Object
  org.vizzini.ai.neuralnetwork.function.AbstractActivationFunction
      org.vizzini.ai.neuralnetwork.function.SigmoidFunction

All Implemented Interfaces:

Serializable, IActivationFunction

public class SigmoidFunction
extends AbstractActivationFunction

Provides a sigmoid activation function for a neural network. This function returns a value in [0,1].

Since:

v0.1

Version:

v0.3

Author:

Jeffrey M. Thompson

See Also:

Serialized Form

Constructor Summary

SigmoidFunction()

Method Summary

double	calcDerivative(double x) Calculate the derivative of this function at the given input.
double	calculate(double x) Calculate the value of this function at the given input.
double	getMaximum() Return the maximum value this function can produce.
double	getMinimum() Return the minimum value this function can produce.

Methods inherited from class org.vizzini.ai.neuralnetwork.function.AbstractActivationFunction

equals, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

SigmoidFunction

public SigmoidFunction()

Method Detail

calcDerivative

public double calcDerivative(double x)

Calculate the derivative of this function at the given input.

Since:

v0.1

calculate

public double calculate(double x)

Calculate the value of this function at the given input.

Since:

v0.1

getMaximum

public double getMaximum()

Return the maximum value this function can produce.

Since:

v0.1

getMinimum

public double getMinimum()

Return the minimum value this function can produce.

Since:

v0.1