📄 normalization.java
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/* * $RCSfile: Normalization.java,v $ * $Revision: 1.3 $ * $Date: 2004/10/16 18:49:33 $ * * NeuralNetworkToolkit * Copyright (C) 2004 Universidade de Brasília * * This file is part of NeuralNetworkToolkit. * * NeuralNetworkToolkit 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. * * NeuralNetworkToolkit 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 NeuralNetworkToolkit; if not, write to the Free Software * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA - 02111-1307 - USA. */package neuralnetworktoolkit.normalization;import java.io.Serializable;/** * Defines some methods that a normalization module must have.<br> * <br> * All normalization techniques was implemented here according the description * avaiable in <a href="http://www.ivorix.com/en/products/tech/norm/"> * http://www.ivorix.com/en/products/tech/norm/</a>. * * @version $Revision: 1.3 $ - $Date: 2004/10/16 18:49:33 $ * * @author <a href="mailto:rodbra@pop.com.br">Rodrigo C. M. Coimbra</a> * @author <a href="mailto:hugoiver@yahoo.com.br">Hugo Iver V. Gonçalves</a> */public abstract class Normalization implements INormalization, Serializable { /** * Normalize the data, according previously seted transformation parameters. * * @param originalData * Data to normalize. * * @return Normalized data. */ protected abstract double[][] transform(double[][] originalData); } //Normalization
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