/**
* 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;
import java.util.HashMap;
import java.util.Map;
import org.neuroph.core.NeuralNetwork;
import org.neuroph.util.plugins.LabelsPlugin;
/**
* Neural networks container for creating modular neural networks
* still under development - not finished
* @author Zoran Sevarac <sevarac@gmail.com>
*/
public class ModularNetwork {
/**
* Neural networks collection
*/
private Map<String, NeuralNetwork> neuralNets = new HashMap<String, NeuralNetwork>();
// add neural connectors collection which will be used to interconnect neural networks
// neural connector could be collection of connection objects, put it in nnet.comp package
// also it may be collection of linear neurons which will just pass signals, like patch panel
// that way the networks will not be coupled
public ModularNetwork() {
}
/**
* Adds neural network
* @param neuralNet
*/
public void addNetwork(NeuralNetwork neuralNet) {
LabelsPlugin labelsPlugin = ((LabelsPlugin)neuralNet.getPlugin("LabelsPlugin"));
String label = labelsPlugin.getLabel(neuralNet);
neuralNets.put(label, neuralNet);
}
/**
* Gets neural network
* @param label
* @return neural network
*/
public NeuralNetwork getNetwork(String label) {
return neuralNets.get(label);
}
/**
* Removes neural network
* @param label
*/
public void removeNetwork(String label) {
// maybe we need to remove connections to other networks
neuralNets.remove(label);
}
// calculate(what to calculate - labels sequence)
}
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