com.imsl.datamining.neural
Class Perceptron

java.lang.Object
  com.imsl.datamining.neural.Node
      com.imsl.datamining.neural.Perceptron

All Implemented Interfaces:

Serializable

Direct Known Subclasses:

OutputPerceptron

public class Perceptron
extends Node

A Perceptron node in a neural network. Perceptrons are created by factory methods in a Network Layer.

Each Perceptron has an activation function (g) and a bias (). The value of a Perceptron is given by , where are the values of nodes input to this Perceptron with weights .

Network training will use existing bias values for the starting values for the trainer. Upon completion of network training, the bias values are set to the values computed by the trainer.

See Also:

Feed Forward Class Example 1, Serialized Form

Method Summary

Activation	getActivation() Returns the activation function.
double	getBias() Returns the bias for this Perceptron.
void	setActivation(Activation activation) Sets the activation function.
void	setBias(double bias) Sets the bias for this Perceptron.

Methods inherited from class com.imsl.datamining.neural.Node

getLayer

Methods inherited from class java.lang.Object

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

Method Detail

getActivation

public Activation getActivation()

Returns the activation function.

Returns:

An Activation object indicating the activation function.

getBias

public double getBias()

Returns the bias for this Perceptron.

Returns:

A double representing the bias for this Perceptron.

setActivation

public void setActivation(Activation activation)

Sets the activation function.

Parameters:

activation - An Activation object which represents the activation g to be used by this Perceptron.

setBias

public void setBias(double bias)

Sets the bias for this Perceptron.

Parameters:

bias - A double scalar value to which the bias is to be set. The bias has a default value of 0.