keel.Algorithms.Shared.ClassicalOptim

Class ConjGradQUAD

java.lang.Object

keel.Algorithms.Shared.ClassicalOptim.ConjGradQUAD

public class ConjGradQUAD
extends java.lang.Object

Quadratic optimized Classificator/Model by Conjugated Gradient. Also this class is a container for a perceptron neural network and implements the training methods: * Conjugated Gradient: conjugatedGradient. * Descendent Gradient: descentGradient. Input-Layer Hidden Layer-i x nLayers Output-Layer - | I H | I H - | I H O | nInputs | I H O | nOutputs | I H O | | I H O | | I H - | I H -

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

Constructor Summary

Constructors

Constructor and Description
ConjGradQUAD(double[][] vInput, double[][] vOutput, Randomize pr) Constructor for a perceptron neural network from its basic elements.

Method Summary

Modifier and Type	Method and Description
static double[]	duplicate(double[] x) Creates and returns a copy of vector x
static double[][]	duplicate(double[][] x) Creates and returns a copy of vector x
static double[][][]	duplicate(double[][][] x) Creates and returns a copy of vector x
double[]	quadraticModelOutput(double[] x, double[][][] W) Returns the output of the perceptron with weights W for input example x.

Methods inherited from class java.lang.Object

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

Constructor Detail

ConjGradQUAD

public ConjGradQUAD(double[][] vInput,
                    double[][] vOutput,
                    Randomize pr)

Constructor for a perceptron neural network from its basic elements.

Parameters:

vInput - input examples.

vOutput - expected outputs.

pr - Random generator.

Method Detail

duplicate

public static double[] duplicate(double[] x)

Creates and returns a copy of vector x. *

Parameters:

x - the vector to be copied.

Returns:

a clone of vector x.

duplicate

public static double[][] duplicate(double[][] x)

Creates and returns a copy of vector x. *

Parameters:

x - the vector to be copied.

Returns:

a clone of vector x.

duplicate

public static double[][][] duplicate(double[][][] x)

Creates and returns a copy of vector x. *

Parameters:

x - the vector to be copied.

Returns:

a clone of vector x.

quadraticModelOutput

public double[] quadraticModelOutput(double[] x,
                                     double[][][] W)

Returns the output of the perceptron with weights W for input example x.

Parameters:

x - an input example

W - the weights of a perceptron.

Returns:

the output of the perceptron with weights W for input example x.