/// <summary>
/// Train this synapse.
/// </summary>
public void OptimizeWeights()
{
double buffer = _weight;
if (_config.WeightDecayEnable.Value)
{
_weight -= _weight * _config.WeightDecay.Value;
}
if (_config.MomentumTermEnable.Value)
{
_weight += _weightBuffer * _config.MomentumTerm.Value;
}
_weightBuffer = buffer;
if (_config.ManhattanTrainingEnable.Value)
{
_weight += _config.LearningRate.Value * _sourceNeuron.CurrentOutput * Math.Sign(_targetNeuron.CurrentDelta);
}
else
{
_weight += _config.LearningRate.Value * _sourceNeuron.CurrentOutput * _targetNeuron.CurrentDelta;
}
_weight += _config.PreventWeightSymmetrySummand();
if (WeightChanged != null && !_config.QuietModeEnable.Value && buffer != _weight)
{
WeightChanged(this, new ValueChangedEventArgs(_weight, buffer));
}
}
/// <summary>
/// Optimize the weights based on the published gradient data.
/// </summary>
public void OptimizeWeights()
{
for (int i = 0; i < _sourceSynapses.Count; i++)
{
(_sourceSynapses[i]).OptimizeWeights();
}
if (_config.BiasNeuronEnable.Value)
{
double buffer = _cBiasNeuronWeight;
if (_config.WeightDecayEnable.Value)
{
_cBiasNeuronWeight -= _cBiasNeuronWeight * _config.WeightDecay.Value;
}
if (_config.ManhattanTrainingEnable.Value)
{
_cBiasNeuronWeight += _config.LearningRate.Value * _config.BiasNeuronOutput.Value * Math.Sign(_cDelta);
}
else
{
_cBiasNeuronWeight += _config.LearningRate.Value * _config.BiasNeuronOutput.Value * _cDelta;
}
_cBiasNeuronWeight += _config.PreventWeightSymmetrySummand();
}
}