/**
* Backpropogates the training data to all the incomming synapses.
*
* @since 1.0
*/
@Override
public void backPropagate() {
this.calculateDeltaTrain();
// TODO fix this bad typing
/*
//step thru source synapses and make them learn their new weight.
for(final Synapse currentSynapse : this.getBrain().getInEdges(this))
{
final Neuron sourceNeuron = currentSynapse.getSourceNode();
if( sourceNeuron instanceof BackpropNeuron )
{
final BackpropNeuron sourceBackpropNeuron = (BackpropNeuron) sourceNeuron;
// TODO instead of only working on SimpleBackpropNeuron perhaps make deltaTrain part of a Backprop synapse
if( sourceBackpropNeuron instanceof SimpleBackpropNeuron )
((SimpleBackpropNeuron) sourceBackpropNeuron).deltaTrainDestinations.put(currentSynapse, this.deltaTrain);
currentSynapse.setWeight(currentSynapse.getWeight() + (this.deltaTrain * this.learningRate * currentSynapse.getInput()));
}
}
*/
// step thru source synapses and make them learn their new weight.
for (final Object currentSynapse : this.getBrain().getInEdges(this)) {
final Neuron sourceNeuron = (Neuron) ((Synapse) currentSynapse).getSourceNode();
if (sourceNeuron instanceof BackpropNeuron) {
final BackpropNeuron sourceBackpropNeuron = (BackpropNeuron) sourceNeuron;
// TODO instead of only working on SimpleBackpropNeuron perhaps make deltaTrain part of a
// Backprop synapse
if (sourceBackpropNeuron instanceof SimpleBackpropNeuron)
((SimpleBackpropNeuron) sourceBackpropNeuron)
.deltaTrainDestinations.put(((Synapse) currentSynapse), this.deltaTrain);
((Synapse) currentSynapse)
.setWeight(
((Synapse) currentSynapse).getWeight()
+ (this.deltaTrain
* this.learningRate
* ((Synapse) currentSynapse).getInput()));
}
}
}
