static void test_randomizing()
{
vnn nn;
trainer tr;
double mean = 0.0;
double to = 1.0;
for (int i = 0; i < to; i++)
{
nn = new vnn(2, 2, 1);
tr = new trainer(nn, data.DataSets.xorProblem, 0.1, 0.9);
Stopwatch sw = Stopwatch.StartNew();
tr.TrainUntilAccuracy(0.8, 0.2, 100);
mean += sw.ElapsedMilliseconds;
}
Console.WriteLine(mean / to);
Console.ReadKey();
}
void test()
{
vnn nn = new vnn(2, 1000, 2, addon.RandomizeWeights);
trainer tr = new trainer(nn, data.DataSets.twoParamTest, 0.01, 0.9);
tr.TrainUntilAccuracy(0.9, 0.1);
int counter = 0;
double mean = 0.0;
foreach (var v in nn.wHiddenOutput)
{
mean += Abs(v);
if (Abs(v) < 1.0 / nn.nHidden)
{
counter++;
}
}
mean = mean / nn.wHiddenOutput.Length;
WriteLine("weak = " + counter);
WriteLine("% = " + counter / (double)nn.wHiddenOutput.Length);
WriteLine("Mean = " + mean + "; level = " + 1.0 / nn.nHidden);
}