/** * 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.core.input; import java.io.Serializable; import java.util.List; import org.neuroph.core.Connection; import org.neuroph.core.Neuron; import org.neuroph.core.Weight; /** * Performs the vector difference operation on input and * weight vector. * * @author Zoran Sevarac <sevarac@gmail.com> */ public class Difference extends WeightsFunction implements Serializable { /** * The class fingerprint that is set to indicate serialization * compatibility with a previous version of the class. */ private static final long serialVersionUID =21L; public double[] getOutput(List<Connection> inputConnections) { double[] output = new double[inputConnections.size()]; int i = 0; for(Connection connection : inputConnections) { Neuron neuron = connection.getFromNeuron(); Weight weight = connection.getWeight(); output[i++] = neuron.getOutput() - weight.getValue(); } return output; } public double[] getOutput(double[] inputs, double[] weights) { double[] output = new double[inputs.length]; for(int i = 0; i < inputs.length; i++) { output[i] = inputs[i] - weights[i]; } return output; } }