public int getSampleIndex(int[] y)
{
var ind = 0;
var minHammingDist = HopfieldModel.hammingDistance(xs[0], y);
for (var i = 1; i < xs.Count; ++i)
{
var hd = HopfieldModel.hammingDistance(xs[i], y);
if (hd < minHammingDist)
{
ind = i;
minHammingDist = hd;
}
}
return(ind);
}
public void Init(string trainingSetDirectory)
{
rand = new Random();
var di = new DirectoryInfo(trainingSetDirectory);
var files = di.GetFiles("*.jpg");
size = files.Length;
xs = new List <int[]>(size);
classes = new List <string>(size);
for (var i = 0; i < size; ++i)
{
var b = new Bitmap(Image.FromFile(files[i].FullName));
var bip_res = SignalProcessor.bipolarize(b, Color.FromArgb(0, 0, 0));
xs.Add(bip_res.Cast <int>().ToArray());
classes.Add(files[i].Name);
}
assotiatedMemory = new HopfieldModel(xs);
}
