private INeuronWeights GenerateWeights(uint passedNumberOfWeights)
{
IList <INeuronWeight> WeightsList = new List <INeuronWeight>((int)passedNumberOfWeights);
for (int i = 0; i < passedNumberOfWeights; i++)
{
WeightsList.Add(CreateRandomNeuronWeight());
}
INeuronWeights result = new NeuronWeights(WeightsList);
return(result);
}
public void Teach(bool result)
{
if (result == false)
{
for (var y = 0; y <= NeuronWeights.GetUpperBound(1); y++)
{
for (var x = 0; x <= NeuronWeights.GetUpperBound(0); x++)
{
NeuronWeights[x, y] += InputData[x, y];
}
}
}
else
{
for (var y = 0; y <= NeuronWeights.GetUpperBound(1); y++)
{
for (var x = 0; x <= NeuronWeights.GetUpperBound(0); x++)
{
NeuronWeights[x, y] -= InputData[x, y];
}
}
}
}