/*
* Encog(tm) Core v3.4 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2016 Heaton Research, Inc.
*
* 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.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.neural.freeform.basic;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.List;
import org.encog.neural.freeform.FreeformLayer;
import org.encog.neural.freeform.FreeformNeuron;
/**
* Implements a basic freeform layer.
*
*/
public class BasicFreeformLayer implements FreeformLayer, Serializable {
/**
* Serial id.
*/
private static final long serialVersionUID = 1L;
/**
* The neurons in this layer.
*/
private final List<FreeformNeuron> neurons = new ArrayList<FreeformNeuron>();
/**
* {@inheritDoc}
*/
@Override
public void add(final FreeformNeuron basicFreeformNeuron) {
this.neurons.add(basicFreeformNeuron);
}
/**
* {@inheritDoc}
*/
@Override
public List<FreeformNeuron> getNeurons() {
return this.neurons;
}
/**
* {@inheritDoc}
*/
@Override
public boolean hasBias() {
for (final FreeformNeuron neuron : this.neurons) {
if (neuron.isBias()) {
return true;
}
}
return false;
}
/**
* {@inheritDoc}
*/
@Override
public void setActivation(final int i, final double activation) {
this.neurons.get(i).setActivation(activation);
}
/**
* {@inheritDoc}
*/
@Override
public int size() {
return this.neurons.size();
}
/**
* {@inheritDoc}
*/
@Override
public int sizeNonBias() {
int result = 0;
for (final FreeformNeuron neuron : this.neurons) {
if (!neuron.isBias()) {
result++;
}
}
return result;
}
}