keel.Algorithms.Shared.ClassicalOptim

Class SquaresErrorQUAD

java.lang.Object

keel.Algorithms.Shared.ClassicalOptim.FUN

keel.Algorithms.Shared.ClassicalOptim.SquaresErrorQUAD

public class SquaresErrorQUAD
extends FUN

Derived class from FUN that implements the error for a perceptron trained with quadratic conjugated gradient.

Since:

JDK1.4

Version:

1.0

Author:

Written by Luciano Sánchez (University of Oviedo) 27/02/2004, Modified by Enrique A. de la Cal (University of Oviedo) 13/12/2008

Field Summary

Fields

Modifier and Type	Field and Description
ConjGradQUAD	Cua Neural network container.

Constructor Summary

Constructors

Constructor and Description
SquaresErrorQUAD(ConjGradQUAD vCua, double[][] vInput, double[][] vOutput) Constructor of an error calculator for neural network based on the quadratic conjugated gradient.

Method Summary

Modifier and Type	Method and Description
double	evaluate(double[][][] x) Returns the training mean square error for a perceptron with weights x

Methods inherited from class java.lang.Object

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

Field Detail

Cua

public ConjGradQUAD Cua

Neural network container.

Constructor Detail

SquaresErrorQUAD

public SquaresErrorQUAD(ConjGradQUAD vCua,
                        double[][] vInput,
                        double[][] vOutput)

Constructor of an error calculator for neural network based on the quadratic conjugated gradient.

Parameters:

vCua - the perceptron.

vInput - input examples

vOutput - expected output

Method Detail

evaluate

public double evaluate(double[][][] x)

Returns the training mean square error for a perceptron with weights x

Specified by:

evaluate in class FUN

Parameters:

x - the weights of a perceptron.

Returns:

the training mean square error of a perceptron with weights x.