static NeuralNet NNCollectedData2()
{
var raw_up = ReadDataFromFile("Up.txt");
var raw_down = ReadDataFromFile("Down.txt");
var fft_up = RawToPackedNNData(raw_up);
var fft_down = RawToPackedNNData(raw_down);
var training_set = ConcatenateArrays(fft_up, fft_down);
var Y = new int[training_set.GetUpperBound(0) + 1];
for (int i = 0; i < Y.Length; i++)
{
Y[i] = (i < fft_up.GetUpperBound(0) + 1) ? 0 : 1;
}
return(NeuralNet.ChooseBestNeuralNet(training_set, Y, new int[][]
{
//new int[] { 64 , 100, 2 },
//new int[] { 64 , 40, 2 },
//new int[] { 64 , 48, 24, 12, 6, 2 },
//new int[] { 64 , 100, 120, 130, 100, 2 }
new int[] { 64, 33, 2 }
}, 2000, new double[] { 1.0 }));
}