neural.net
Class ActivationFunctionSigmoid

java.lang.Object
  neural.net.ActivationFunctionSigmoid

All Implemented Interfaces:

java.io.Serializable, ActivationFunction

public class ActivationFunctionSigmoid
extends java.lang.Object
implements ActivationFunction

Implementation of the Sigmoid Activation Function

Version:

1.0.0

Author:

Jonathan Reimels

See Also:

Serialized Form

Constructor Summary

ActivationFunctionSigmoid()

Method Summary

double	activate(double input) The sigmoid activation function
double	derivative(double input) The derivative of the sigmoid function

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ActivationFunctionSigmoid

public ActivationFunctionSigmoid()

Method Detail

activate

public double activate(double input)

The sigmoid activation function

Specified by:

activate in interface ActivationFunction

Parameters:

input - - the input to process, should be the sum of weights and input to a neuron

Returns:

output

derivative

public double derivative(double input)

The derivative of the sigmoid function

Specified by:

derivative in interface ActivationFunction

Parameters:

input - - the input to process through the derivative function

Returns:

output