/// <summary>
/// Creates input and output for nerual network
/// </summary>
/// <param name="input"></param>
/// <param name="output"></param>
private void CreateInputOutput(out double[][] input, out double[][] output)
{
int maxPos = -1;
string[] positions = new string[m_outputSize];
List <ClassicCurve> curves = new List <ClassicCurve>(m_curves.Values);
for (int i = 0; i < positions.Length; i++)
{
positions[i] = string.Empty;
}
for (int i = 0; i < curves.Count; i++)
{
int nnIndex = curves[i].NnIndex;
positions[nnIndex] = curves[i].ID;
maxPos = maxPos > nnIndex ? maxPos : nnIndex;
}
maxPos++; //we need to increment the position so we can reach it in a cycle (as on this position some gesture actualy is!)
List <double[]> inputList = new List <double[]>();
List <double[]> outputList = new List <double[]>();
for (int i = 0; i < maxPos; i++)
{
if (positions[i] != string.Empty)
{
inputList.AddRange(m_curveSets[positions[i]].TrainingSet);
}
else
{
inputList.AddRange(MyCurve.EmptyTrainingSet());
}
}
//input = inputList.ToArray();
int k = -1;
int trainingSize = m_setSize * maxPos;//m_curves.Count;
//output = new double[trainingSize][];
for (int i = 0; i < trainingSize; i++)
{
if (i % m_setSize == 0)
{
k++;
}
double[] oneOutput = new double[m_outputSize];
//output[i] = new double[m_outputSize];
if (positions[k] != string.Empty)
{
//output[i][m_curves[positions[k]].NnIndex] = 1;
oneOutput[m_curves[positions[k]].NnIndex] = 1;
}
outputList.Add(oneOutput);
}
//add false patterns
//double[] emptyOutput = new double[m_outputSize];
//foreach (MyCurve c in m_curveSets.Values)
//{
// double[][] falsePatterns = c.GenerateFalsePatterns();
// for (int i = 0; i < falsePatterns.Length; i++)
// {
// inputList.Add(falsePatterns[i]);
// outputList.Add(emptyOutput);
// }
//}
//shuffle it
List <double[]> tempInput = inputList; //new List<double[]>(input);
List <double[]> tempOutput = outputList; //new List<double[]>(output);
List <double[]> randInput = new List <double[]>();
List <double[]> randOutput = new List <double[]>();
while (tempInput.Count > 0)
{
int i = StaticRandom.RandomInteger(0, tempInput.Count);
randInput.Add(tempInput[i]);
randOutput.Add(tempOutput[i]);
tempInput.RemoveAt(i);
tempOutput.RemoveAt(i);
}
input = randInput.ToArray();
output = randOutput.ToArray();
}