/**
* 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;
}
}