| public SetWeight ( int fromLayer, int fromNeuron, int toNeuron, double v ) : void | ||
| fromLayer | int | The from layer. |
| fromNeuron | int | The from neuron. |
| toNeuron | int | The to neuron. |
| v | double | The to value. |
| return | void | |
public void SetWeight(int fromLayer, int fromNeuron,
int toNeuron, double v)
{
_structure.RequireFlat();
int fromLayerNumber = LayerCount - fromLayer - 1;
int toLayerNumber = fromLayerNumber - 1;
if (toLayerNumber < 0)
{
throw new NeuralNetworkError(
"The specified layer is not connected to another layer: "
+ fromLayer);
}
int weightBaseIndex = _structure.Flat.WeightIndex[toLayerNumber];
int count = _structure.Flat.LayerCounts[fromLayerNumber];
int weightIndex = weightBaseIndex + fromNeuron
+ (toNeuron*count);
_structure.Flat.Weights[weightIndex] = v;
}
/// <summary>
/// Randomize one level of a neural network.
/// </summary>
///
/// <param name="network">The network to randomize</param>
/// <param name="fromLayer">The from level to randomize.</param>
public override void Randomize(BasicNetwork network, int fromLayer)
{
int fromCount = network.GetLayerTotalNeuronCount(fromLayer);
int toCount = network.GetLayerNeuronCount(fromLayer + 1);
for (int fromNeuron = 0; fromNeuron < fromCount; fromNeuron++)
{
for (int toNeuron = 0; toNeuron < toCount; toNeuron++)
{
double v = CalculateValue(toCount);
network.SetWeight(fromLayer, fromNeuron, toNeuron, v);
}
}
}