public void format(AbstractNeuralNet source, XmlElement xml) {
// Marshal input layer
xml.add(source.inputLayer, "input-layer");
// Marshal hidden layers
xml.add(source.hiddenLayers, "hidden-layers");
// Marshal output layers
xml.add(source.outputLayer, "output-layer");
}
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;
}