/** * 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) }