/**
* Creates Outstar architecture with specified number of neurons in output layer
*
* @param outputNeuronsCount number of neurons in output layer
*/
private void createNetwork(int outputNeuronsCount) {
// set network type
this.setNetworkType(NeuralNetworkType.OUTSTAR);
// init neuron settings for this type of network
NeuronProperties neuronProperties = new NeuronProperties();
neuronProperties.setProperty("transferFunction", TransferFunctionType.STEP);
// create input layer
Layer inputLayer = LayerFactory.createLayer(1, neuronProperties);
this.addLayer(inputLayer);
// createLayer output layer
neuronProperties.setProperty("transferFunction", TransferFunctionType.RAMP);
Layer outputLayer = LayerFactory.createLayer(outputNeuronsCount, neuronProperties);
this.addLayer(outputLayer);
// create full conectivity between input and output layer
ConnectionFactory.fullConnect(inputLayer, outputLayer);
// set input and output cells for this network
NeuralNetworkFactory.setDefaultIO(this);
// set outstar learning rule for this network
this.setLearningRule(new OutstarLearning());
}
@Override
public NeuralNetwork<? extends LearningRule> createNeuralNetwork(WizardDescriptor settings) {
String neuralNetworkName = (String) settings.getProperty("neural network name");
int instarInputNeurons = Integer.parseInt((String) settings.getProperty("input number"));
Instar nnet11 = NeuralNetworkFactory.createInstar(instarInputNeurons);
nnet11.setLabel(neuralNetworkName);
InstarVisualPanel1.getInstance().clearForm();
return nnet11;
}
@Override
public NeuralNetwork<? extends LearningRule> createNeuralNetwork(WizardDescriptor settings) {
String neuralNetworkName = (String) settings.getProperty("neural network name");
int kohonenInputNeurons = Integer.parseInt((String) settings.getProperty("input number"));
int kohonenMapNeurons = Integer.parseInt((String) settings.getProperty("map number"));
Kohonen nnet5 = NeuralNetworkFactory.createKohonen(kohonenInputNeurons, kohonenMapNeurons);
nnet5.setLabel(neuralNetworkName);
KohonenVisualPanel1.getInstance().clearForm();
return nnet5;
}