/*	Copyright 2006, 2007 Brian Greer	This file is part of the Java NN Trainer.	Java NN Trainer is free software; you can redistribute it and/or modify	it under the terms of the GNU General Public License as published by	the Free Software Foundation; either version 2 of the License, or	(at your option) any later version.	Java NN Trainer is distributed in the hope that it will be useful,	but WITHOUT ANY WARRANTY; without even the implied warranty of	MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the	GNU General Public License for more details.	You should have received a copy of the GNU General Public License	along with Java NN Trainer; if not, write to the Free Software	Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA*/package problems;import java.util.HashMap;import java.util.Random;import algorithms.Trainer;import algorithms.TrainerListener;import algorithms.NeuralNetwork;public class Problem implements TrainerListener{	protected int numPatterns = 0;	protected double [][] inputs = null;	protected double [][] outputs = null;	protected int numHidden = 0;	protected double minError = 0;	protected HashMap outputLists = null;	protected Random random = new Random(System.currentTimeMillis());	public Problem(int numHidden, double minError, HashMap outputLists){		this.numHidden = numHidden;		this.minError = minError;		this.outputLists = outputLists;	}	public int getNumPatterns(){		return numPatterns;	}	public double[][] getInputs(){		return inputs;	}	public double[][] getOutputs(){		return outputs;	}	public double getMinError(){		return minError;	}	public void trainingBegin(Trainer trainer){	}	public void trainingEnd(Trainer trainer){	}	public void trainingGenerationComplete(NeuralNetwork nn, Trainer trainer){	}}// vim:noet:ts=3:sw=3