public void UpdateNetwork(SomNetwork network, Bmu bmu, Vector input)
{
var radius = network.Radius * SomUtilities.Shrink(network.Time, network.T0);
foreach (SomNode node in network.Weights)
{
if (Distance.Euclidean(bmu.Position, node.Position) < radius)
{
Vector delta = (Vector)(
SomUtilities.Shrink(network.Time, network.T0) *
SomUtilities.Shrink(Distance.Euclidean(bmu.Position, node.Position), network.L0) *
network.LearningRate * (input - node.Weight));
node.Weight = (Vector)(node.Weight + delta);
}
}
}
public Bmu BestMatchingUnit(SomNetwork network, Vector input)
{
//Inelegant.
var bmu = new Bmu()
{
Distance = int.MaxValue
};
foreach (SomNode node in network.Weights)
{
if (Distance.Euclidean(node.Weight, input) < bmu.Distance)
{
bmu.Position = node.Position;
bmu.Distance = Distance.Euclidean(node.Weight, input);
}
}
return(bmu);
}