org.neuroph.core.transfer

Class Gaussian

java.lang.Object

org.neuroph.core.transfer.TransferFunction

org.neuroph.core.transfer.Gaussian

All Implemented Interfaces:

Serializable

public class Gaussian
extends TransferFunction
implements Serializable

 Gaussian neuron transfer function.
             -(x^2) / (2 * sigma^2)
  f(x) =    e
 

Author:

Zoran Sevarac

See Also:

Serialized Form

Field Summary

Fields inherited from class org.neuroph.core.transfer.TransferFunction

output

Constructor Summary

Constructors

Constructor and Description
Gaussian() Creates an instance of Gaussian neuron transfer
Gaussian(Properties properties) Creates an instance of Gaussian neuron transfer function with the specified properties.

Method Summary

Modifier and Type	Method and Description
double	getDerivative(double net) Returns the first derivative of this function.
double	getOutput(double totalInput) Returns the ouput of this function.
double	getSigma() Returns the sigma parametar of this function
void	setSigma(double sigma) Sets the sigma parametar for this function

Methods inherited from class java.lang.Object

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

Constructor Detail

Gaussian

public Gaussian()

Creates an instance of Gaussian neuron transfer

Gaussian

public Gaussian(Properties properties)

Creates an instance of Gaussian neuron transfer function with the specified properties.

Parameters:

properties - properties of the Gaussian function

Method Detail

getOutput

public double getOutput(double totalInput)

Description copied from class: TransferFunction

Returns the ouput of this function.

Specified by:

getOutput in class TransferFunction

Parameters:

totalInput - total input

getDerivative

public double getDerivative(double net)

Description copied from class: TransferFunction

Returns the first derivative of this function. Note: should this method should be abstract?

Overrides:

getDerivative in class TransferFunction

Parameters:

net - total input

getSigma

public double getSigma()

Returns the sigma parametar of this function

Returns:

sigma parametar of this function

setSigma

public void setSigma(double sigma)

Sets the sigma parametar for this function

Parameters:

sigma - value for the slope parametar