/* *    This program 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. * *    This program 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 this program; if not, write to the Free Software *    Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. *//* *    NeuralMethod.java *    Copyright (C) 2001 Malcolm Ware */package weka.classifiers.functions.neural;import java.io.*;/** * This is an interface used to create classes that can be used by the  * neuralnode to perform all it's computations. * * @author Malcolm Ware (mfw4@cs.waikato.ac.nz) * @version $Revision: 1.4 $ */public interface NeuralMethod extends Serializable {    /**   * This function calculates what the output value should be.   * @param node The node to calculate the value for.   * @return The value.   */  double outputValue(NeuralNode node);  /**   * This function calculates what the error value should be.   * @param node The node to calculate the error for.   * @return The error.   */  double errorValue(NeuralNode node);  /**   * This function will calculate what the change in weights should be   * and also update them.   * @param node The node to update the weights for.   * @param learn The learning rate to use.   * @param momentum The momentum to use.   */  void updateWeights(NeuralNode node, double learn, double momentum);}