public NeuralNetworkClassification()
{
ethalons = Ethalon.UploadEthalons();
if (topology == null)
{
topology = new Topology(60 * 40, ethalons.Count, 0.1, 60);
neuralNetwork = new NeuralNetwork(topology);
Learn();
}
}
static private List <int> Classification(List <Bitmap> objects)
{
List <Bitmap> ethalons = Ethalon.UploadEthalons();
List <double> bufResults = new List <double>();
List <int> results = new List <int>();
foreach (var item in objects)
{
foreach (var ethalon in ethalons)
{
bufResults.Add(ComputeImgFidelity(item, ethalon));
}
results.Add(FindOutIndex(bufResults));
bufResults.Clear();
}
return(results);
}
