/// <summary>
/// Generates similar curve to original one
/// </summary>
/// <param name="points">Original curve</param>
/// <returns></returns>
public static List <PointF> GenerateCurve(List <PointF> points, double errorReduction)
{
List <PointF> autoCurve = new List <PointF>();
float error = GetError(points) / (float)errorReduction;
float x;
float y;
for (int i = 0; i < points.Count; i++)
{
float extra = 1.5F;
//if (i == 0 || i == points.Count - 1)
//{
// continue;
//}
//if (i == 0)
//{
// //x = points[i].X + (2 * (float)StaticRandom.RandomDouble() - 1) * (error * extra);
// //y = points[i].Y + (2 * (float)StaticRandom.RandomDouble() - 1) * (error * extra);
// //x = points[i + 1].X - ((points[i + 1].X - points[i].X) / 2) + (2 * (float)StaticRandom.RandomDouble() - 1) * (error * extra);
// //y = points[i + 1].Y - ((points[i + 1].Y - points[i].Y) / 2) + (2 * (float)StaticRandom.RandomDouble() - 1) * (error * extra);
// x = points[i].X - ((points[i + 1].X - points[i].X) / 4) + (2 * (float)StaticRandom.RandomDouble() - 1) * (error * extra);
// y = points[i].Y - ((points[i + 1].Y - points[i].Y) / 4) + (2 * (float)StaticRandom.RandomDouble() - 1) * (error * extra);
//}
//else if (i == 1 || i == points.Count - 2)
//{
// //continue;
// extra = 0.6f;
// x = points[i].X + (2 * (float)StaticRandom.RandomDouble() - 1) * (error * extra);
// y = points[i].Y + (2 * (float)StaticRandom.RandomDouble() - 1) * (error * extra);
//}
//else if (i == points.Count - 1)
//{
// //x = points[i].X + (2 * (float)StaticRandom.RandomDouble() - 1) * (error * extra);
// //y = points[i].Y + (2 * (float)StaticRandom.RandomDouble() - 1) * (error * extra);
// //x = points[i - 1].X + ((points[i].X - points[i - 1].X) / 2) + (2 * (float)StaticRandom.RandomDouble() - 1) * (error * extra);
// //y = points[i - 1].Y + ((points[i].Y - points[i - 1].Y) / 2) + (2 * (float)StaticRandom.RandomDouble() - 1) * (error * extra);
// x = points[i].X + ((points[i].X - points[i - 1].X) / 4) + (2 * (float)StaticRandom.RandomDouble() - 1) * (error * extra);
// y = points[i].Y + ((points[i].Y - points[i - 1].Y) / 4) + (2 * (float)StaticRandom.RandomDouble() - 1) * (error * extra);
//}
//else
{
x = points[i].X + (2 * (float)StaticRandom.RandomDouble() - 1) * error;
y = points[i].Y + (2 * (float)StaticRandom.RandomDouble() - 1) * error;
}
//float extra = 1;
//if (i == 0 || i == points.Count - 1) extra = 1.6F;
//else if (i == 1 || i == points.Count - 2) extra = 1.2F;
//x = points[i].X + (2 * (float)StaticRandom.RandomDouble() - 1) * (error * extra);
//y = points[i].Y + (2 * (float)StaticRandom.RandomDouble() - 1) * (error * extra);
autoCurve.Add(new PointF(x, y));
}
return(autoCurve);
}
/// <summary>
/// Generates false curves for input
/// </summary>
/// <param name="points"></param>
/// <returns></returns>
public static List <PointF> GenerateFalseCurve(List <PointF> points)
{
List <PointF> autoCurve = new List <PointF>();
float error = GetError(points) * 5.5F;
float x;
float y;
for (int i = 0; i < points.Count; i++)
{
x = points[i].X + (2 * (float)StaticRandom.RandomDouble() - 1) * error;
y = points[i].Y + (2 * (float)StaticRandom.RandomDouble() - 1) * error;
autoCurve.Add(new PointF(x, y));
}
return(autoCurve);
}
/// <summary>
/// Creates default neural network accroding to settings
/// </summary>
private void InitializeNetwork()
{
double[][] thresholds = new double[][] { new double[m_hiddenLayerSize], new double[m_outputSize] };
for (int i = 0; i < thresholds.Length; i++)
{
for (int j = 0; j < thresholds[i].Length; j++)
{
thresholds[i][j] = StaticRandom.RandomDouble() * (-1);
}
}
m_network = new Network(m_inputSize, new int[] { m_hiddenLayerSize, m_outputSize }, thresholds,
new IActivationFunction[] { new HyperbolicTangentFunction(), new SigmoidFunction() });
}
