keel.Algorithms.Neural_Networks.ModelMLPerceptron

Class ModelMLPerceptron

java.lang.Object

keel.Algorithms.Neural_Networks.ModelMLPerceptron.ModelMLPerceptron

public class ModelMLPerceptron
extends java.lang.Object

Regression model by means of a multi-layered perceptron. This class is a wrapper for regression problems to solve using conjugated gradient algorithm.

Since:

JDK1.4

Version:

1.0

Author:

Written by Luciano Sánchez (University of Oviedo) 21/07/2005, Modified by Enrique A. de la Cal (University of Oviedo) 13/12/2008

Constructor Summary

Constructors

Constructor and Description
ModelMLPerceptron()

Method Summary

Modifier and Type	Method and Description
static void	main(java.lang.String[] args) Method that calls the private wrapper method "neuralModelling" that creates and runs a neural network for solving a modelling problem using the Conjugated Gradient algorithm.

Methods inherited from class java.lang.Object

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

Constructor Detail

ModelMLPerceptron

public ModelMLPerceptron()

Method Detail

main

public static void main(java.lang.String[] args)

Method that calls the private wrapper method "neuralModelling" that creates and runs a neural network for solving a modelling problem using the Conjugated Gradient algorithm.

Parameters:

args - command line parameters with the name of configuration file with the information for classification process in position arg[0].