/**
* 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 for neurons with threshold.
* @author Zoran Sevarac <sevarac@gmail.com>
*/
public class ThresholdNeuron 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;
/**
* Threshold value for this neuron
*/
protected double thresh = 0;
/**
* Creates a neuron with threshold behaviour, and with the specified input
* and transfer functions.
*
* @param inputFunction
* input function for this neuron
* @param transferFunction
* transfer function for this neuron
*/
public ThresholdNeuron(InputFunction inputFunction, TransferFunction transferFunction) {
this.inputFunction = inputFunction;
this.transferFunction = transferFunction;
this.thresh = Math.random();
}
/**
* Calculates neuron's output
*/
@Override
public void calculate() {
if (this.hasInputConnections()) {
this.netInput = this.inputFunction.getOutput(this.inputConnections);
}
this.output = this.transferFunction.getOutput(this.netInput-this.thresh);
}
/**
* Returns threshold value for this neuron
* @return threshold value for this neuron
*/
public double getThresh() {
return thresh;
}
/**
* Sets threshold value for this neuron
* @param thresh threshold value for this neuron
*/
public void setThresh(double thresh) {
this.thresh = thresh;
}
}