/**
* 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.comp;
import org.neuroph.core.Neuron;
import org.neuroph.core.input.InputFunction;
import org.neuroph.core.transfer.TransferFunction;
/**
* Provides behaviour specific for neurons which act as input and the output
* neurons within the same layer. For example in Hopfield network and BAM.
*
* @author Zoran Sevarac <sevarac@gmail.com>
*/
public class InputOutputNeuron extends Neuron {
/**
* The class fingerprint that is set to indicate serialization
* compatibility with a previous version of the class.
*/
private static final long serialVersionUID = 1L;
/**
* Flag which is set true if neuron external input is set
*/
private boolean externalInputSet;
/**
* Bias value for this neuron
*/
private double bias = 0;
/**
* Creates an instance of neuron for Hopfield network
*/
public InputOutputNeuron() {
super();
}
/**
* Creates an instance of neuron for Hopfield network with specified input
* and transfer functions
* @param inFunc neuron input function
* @param transFunc neuron transfer function
*/
public InputOutputNeuron(InputFunction inFunc, TransferFunction transFunc) {
super(inFunc, transFunc);
}
/**
* Sets total net input for this cell
*
* @param input
* input value
*/
@Override
public void setInput(double input) {
this.netInput = input;
this.externalInputSet = true;
}
/**
* Returns bias value for this neuron
* @return bias value for this neuron
*/
public double getBias() {
return bias;
}
/**
* Sets bias value for this neuron
* @param bias bias value for this neuron
*/
public void setBias(double bias) {
this.bias = bias;
}
/**
* Calculates neuron output
*/
@Override
public void calculate() {
if (!externalInputSet) { // ako ulaz nije setovan spolja
if (this.hasInputConnections()) // bias neuroni ne racunaju ulaz iz mreze jer
// nemaju ulaze
netInput = inputFunction.getOutput(this.inputConnections);
}
// calculqate cell output
this.output = transferFunction.getOutput(this.netInput + bias); // izracunaj
// izlaz
if (externalInputSet) { // ulaz setovan 'spolja' vazi samo za jedno izracunavanje
externalInputSet = false;
netInput = 0;
}
}
}