neuraldatapair.java

VHDL制作的ann的code

/*
  * Encog Neural Network and Bot Library for Java v1.x
  * http://www.heatonresearch.com/encog/
  * http://code.google.com/p/encog-java/
  * 
  * Copyright 2008, Heaton Research Inc., and individual contributors.
  * See the copyright.txt in the distribution for a full listing of 
  * individual contributors.
  *
  * This is free software; you can redistribute it and/or modify it
  * under the terms of the GNU Lesser General Public License as
  * published by the Free Software Foundation; either version 2.1 of
  * the License, or (at your option) any later version.
  *
  * This software 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
  * Lesser General Public License for more details.
  *
  * You should have received a copy of the GNU Lesser General Public
  * License along with this software; if not, write to the Free
  * Software Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
  * 02110-1301 USA, or see the FSF site: http://www.fsf.org.
  */

package org.encog.neural.data;

/**
 * Training data is stored in two ways, depending on if the data is for
 * supervised, or unsupervised training.
 * 
 * For supervised training just an input value is provided, and the 
 * ideal output values are null.
 * 
 * For unsupervised training both input and the expected ideal outputs
 * are provided.
 * 
 * This interface abstracts classes that provide a holder for both of
 * these two data items.
 * 
 * @author jheaton
 */
public interface NeuralDataPair {
	
	/**
	 * @return The input that the neural network 
	 */
	NeuralData getInput();
	
	/**
	 * @return The ideal data that the neural network should produce
	 * for the specified input.
	 */
	NeuralData getIdeal();
	
	/**
	 * @return True if this training pair is supervised.  That is, it has 
	 * both input and ideal data.
	 */
	boolean isSupervised();
}