public void TrainAllCases()
{
foreach (var sample in cases)
{
net.FeedForward(sample.input);
net.PropagateBack(sample.target);
CurrentSampleCount++;
TotalSampleCount++;
}
EpochCount++;
CurrentSampleCount = 0;
}
public static void Recognize(double[] inputVector = null)
{
double[] myNumberToTest = new double[] { 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1 };
if (inputVector != null)
{
myNumberToTest = inputVector;
}
double[] output = numberNetwork.FeedForward(myNumberToTest);
for (int i = 0; i < output.Length; i++)
{
Console.WriteLine(output[i]);
}
int numberRecognized = numberNetwork.RecognizeNumberFromVector(myNumberToTest);
if (numberRecognized < 10) //recognized with high probability
{
Console.WriteLine(" ==== Recognized num: " + numberRecognized.ToString());
recognizedPostalNums.Add(numberRecognized);
probablyPostalNums.Add(numberRecognized);
}
else //recognized with lower probability
{
Console.WriteLine(" ==== Probably num: " + (numberRecognized / 10).ToString());
recognizedPostalNums.Add(numberRecognized);
probablyPostalNums.Add(numberRecognized / 10);
}
}