/**
* Returns a copy of this neural net
*
* @return INeuralNet Copy of this neural net
*/
public INeuralNet copy() {
// Resulting neural net
AbstractNeuralNet result = null;
try {
result = this.getClass().newInstance();
// Copy the input layer
result.inputLayer = this.inputLayer.copy();
// Copy hidden layers
ILayer<? extends INeuron> lastCopiedLayer = result.inputLayer;
for (LinkedLayer hl : this.hiddenLayers) {
// Copy hidden layer
LinkedLayer hlr = hl.copy(lastCopiedLayer);
result.addHlayer(hlr);
// Update last copied layer
lastCopiedLayer = hlr;
}
// Copy the output layer
result.outputLayer = this.outputLayer.copy(lastCopiedLayer);
} catch (InstantiationException e) {
System.out.println("Instantiation Error " + e.getLocalizedMessage());
e.printStackTrace();
} catch (IllegalAccessException e) {
System.out.println("Illegal Access Error " + e.getLocalizedMessage());
e.printStackTrace();
}
return result;
}
public AbstractNeuralNet parse(XmlElement xml) {
// Resulting object
AbstractNeuralNet result = (AbstractNeuralNet) xml.object();
// Unmarshal input layer
result.inputLayer = xml.<InputLayer>get("input-layer");
// Unmarshal hidden layers
result.hiddenLayers = xml.<ArrayList<LinkedLayer>>get("hidden-layers");
// Update neuron references
ILayer<? extends INeuron> previousLayer = result.inputLayer;
for (LinkedLayer hiddenLayer : result.hiddenLayers) {
for (int i = 0; i < hiddenLayer.getNofneurons(); i++) {
Link[] links = hiddenLayer.getNeuron(i).getLinks();
for (int j = 0; j < links.length; j++) {
links[j].setTarget(hiddenLayer.getNeuron(i));
if (!links[j].isBroken() && j < previousLayer.getMaxnofneurons())
links[j].setOrigin(previousLayer.getNeuron(j));
else links[j].setOrigin(null);
}
}
previousLayer = hiddenLayer;
}
// Unmarshal output layer
result.outputLayer = xml.<LinkedLayer>get("output-layer");
// Update neuron references
for (int i = 0; i < result.outputLayer.getNofneurons(); i++) {
Link[] links = ((LinkedNeuron) result.outputLayer.getNeuron(i)).getLinks();
for (int j = 0; j < links.length; j++) {
links[j].setTarget(result.outputLayer.getNeuron(i));
if (!links[j].isBroken() && j < previousLayer.getMaxnofneurons())
links[j].setOrigin(previousLayer.getNeuron(j));
else links[j].setOrigin(null);
}
}
// Return result
return result;
}
