Adaline.java :  » Net » Neuroph-2.4 » org » neuroph » nnet » Java Open Source

Java Open Source » Net » Neuroph 2.4 
Neuroph 2.4 » org » neuroph » nnet » Adaline.java
/**
 * Copyright 2010 Neuroph Project http://neuroph.sourceforge.net
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.neuroph.nnet;

import org.neuroph.core.Layer;
import org.neuroph.core.NeuralNetwork;
import org.neuroph.nnet.learning.LMS;
import org.neuroph.util.ConnectionFactory;
import org.neuroph.util.LayerFactory;
import org.neuroph.util.NeuralNetworkFactory;
import org.neuroph.util.NeuralNetworkType;
import org.neuroph.util.NeuronProperties;

/**
 * Adaline neural network architecture with LMS learning rule.
 * 
 * @author Zoran Sevarac <sevarac@gmail.com>
 */
public class Adaline extends NeuralNetwork {
  
  /**
   * The class fingerprint that is set to indicate serialization
   * compatibility with a previous version of the class.
   */  
  private static final long serialVersionUID = 1L;

  /**
   * Creates new Adaline network with specified number of neurons in input
   * layer
   * 
   * @param inputNeuronsCount
   *            number of neurons in input layer
   */
  public Adaline(int inputNeuronsCount) {
    this.createNetwork(inputNeuronsCount);
  }

  /**
   * Creates adaline network architecture with specified number of input neurons
   * 
   * @param inputNeuronsCount
         *              number of neurons in input layer
   */
  private void createNetwork(int inputNeuronsCount) {

    // createLayer neuron settings for this network
    NeuronProperties neuronProperties = new NeuronProperties();

    // set network type code
    this.setNetworkType(NeuralNetworkType.ADALINE);

    // createLayer input layer with specified number of neurons
    Layer inputLayer = LayerFactory.createLayer(inputNeuronsCount, neuronProperties);
    this.addLayer(inputLayer);

    // createLayer output layer (only one neuron)
    Layer outputLayer = LayerFactory.createLayer(1, neuronProperties);
    this.addLayer(outputLayer);

    // createLayer full conectivity between input and output layer
    ConnectionFactory.fullConnect(inputLayer, outputLayer);

    // set input and output cells for network
    NeuralNetworkFactory.setDefaultIO(this);

    // set LMS learning rule for this network
    this.setLearningRule(new LMS(this));
  }

}
java2s.com  | Contact Us | Privacy Policy
Copyright 2009 - 12 Demo Source and Support. All rights reserved.
All other trademarks are property of their respective owners.