de.htwdd.rosenkoenig.neuro.net.training
Class Pattern

java.lang.Object
  de.htwdd.rosenkoenig.neuro.net.training.Pattern

public class Pattern
extends java.lang.Object

Stores patterns to train feed forward neural networks.
A pattern consists of a double array representing the net input and a double array representing the net's desired output.

Field Summary

private double[]	desiredOutput
private double[]	inputs

Constructor Summary

Pattern(double[] input, double[] desiredOutput)

Method Summary

double[]	getDesiredOutput() Getter of the property desiredOutput
double[]	getInput() Getter of the property input
void	setDesiredOutput(double[] desiredOutput) Setter of the property desiredOutput
void	setInput(double[] input) Setter of the property input

Methods inherited from class java.lang.Object

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

Field Detail

inputs

private double[] inputs

desiredOutput

private double[] desiredOutput

Constructor Detail

Pattern

public Pattern(double[] input,
               double[] desiredOutput)

Method Detail

getInput

public double[] getInput()

Getter of the property input

Returns:

Returns the inputs.

getDesiredOutput

public double[] getDesiredOutput()

Getter of the property desiredOutput

Returns:

Returns the desiredOutput.

setInput

public void setInput(double[] input)

Setter of the property input

Parameters:

input - The inputs to set.

setDesiredOutput

public void setDesiredOutput(double[] desiredOutput)

Setter of the property desiredOutput

Parameters:

desiredOutput - The desiredOutput to set.