public _3dForm()
{
InitializeComponent();
SetupWorker();
stat = ((string message) => { m_status.Text = message; });
CustomBasis GeneticBasis = null;
Eval = new Evaluator((ref List<int> binaryCoded, ref List<int> bestChromo) =>
{
//if(!m_running)
double error = 0;
List<double[]> gaPnts = new List<double[]>();
double[] result = EvalChromosome(ref binaryCoded, ref gaPnts);
GeneticBasis = new CustomBasis(16.383 / 2.0 - result[0], 16.383 / 2.0 - result[1], 16.383 / 2.0 - result[2], 16.383 / 2.0 - result[3]);
double[] pnt1, pnt2, dx1, dx2;
//List<double[]> fitpoints = new List<double[]>(oldRBF.OriginalFitPoints);
List<double[]> fitpoints = new List<double[]>(gaPnts);
found = new SurfaceRBF(null, "target", fitpoints, GeneticBasis, targetPoly, 0.0);
//List<double[]> errorSurfPnts = new List<double[]>();
double gridCount = GridSize;
for (double i = 0; i < gridCount; i += 1.0)
{
for (double j = 0; j < gridCount; j += 1.0)
{
pnt1 = new double[] { (i / (gridCount - 1)) * (Max[0] - Min[0]) + Min[0], (j / (gridCount - 1)) * (Max[1] - Min[1]) + Min[1], 0 };
pnt2 = new double[] { (i / (gridCount - 1)) * (Max[0] - Min[0]) + Min[0], (j / (gridCount - 1)) * (Max[1] - Min[1]) + Min[1], 0 };
target.Value(ref pnt1);
found.Value(ref pnt2);
error += 10.0 * Math.Pow(Math.Abs(pnt2[2] - pnt1[2]), 1);
//errorSurfPnts.Add(new double[] { i * 20.0, j * 20.0, pnt1[2] - pnt2[2] });
}
}
gridCount = 10.0;
for (double i = 0; i < gridCount; i += 1.0)
{
for (double j = 0; j < gridCount; j += 1.0)
{
pnt1 = new double[] { (i / (gridCount - 1)) * (Max[0] - Min[0]) + Min[0], (j / (gridCount - 1)) * (Max[1] - Min[1]) + Min[1], 0 };
pnt2 = new double[] { (i / (gridCount - 1)) * (Max[0] - Min[0]) + Min[0], (j / (gridCount - 1)) * (Max[1] - Min[1]) + Min[1], 0 };
target.Value(ref pnt1);
found.Value(ref pnt2);
error += Math.Pow(Math.Abs(pnt2[2] - pnt1[2]), 1);
}
}
//int count = 0;
//double pntError = 1000;
//gaPnts.ForEach((pnt) =>
//{
// dx1 = new double[2];
// dx2 = new double[2];
// pnt2 = new double[] { pnt[0], pnt[1] };
// GaRBF.First(ref pnt, ref dx1);
// oldRBF.First(ref pnt, ref dx2);
// error += 2 * Math.Pow(pnt2[1] - pnt[1], 2);
// error += 2 * Math.Pow(Math.Pow(dx2[0] - dx1[0], 2) + Math.Pow(dx2[1] - dx1[1], 2), 2);
//});
//gaPnts.ForEach((pnt) =>
// {
// if (oldRBF.OriginalFitPoints.Find((Oldpnt) => { return Oldpnt[0] == pnt[0] && Oldpnt[1] == pnt[1]; }) != null)
// count++;
// else
// error *= 4;
// });
//if (count != 0)
// pntError /= ((double)count / 5.0) * 1000.0;
// error += pntError;
//GC.Collect();
return Math.Pow(error, -1);
});
}
void GAWorker_ProgressChanged(object sender, ProgressChangedEventArgs e)
{
if (GAWorker.CancellationPending == true)
Algo.Stop();
m_progBar.Value = e.ProgressPercentage;
if (e.UserState == null)
return;
List<int> bestChromo = (List<int>)e.UserState;
if (bestChromo.Count > 0)
{
List<double[]> gaPnts = new List<double[]>();
double[] result = EvalChromosome(ref bestChromo, ref gaPnts);
CustomBasis GeneticBasis = new CustomBasis(16.383 / 2.0 - result[0], 16.383 / 2.0 - result[1], 16.383 / 2.0 - result[2], 16.383 / 2.0 - result[3]);
List<double[]> fitpoints = new List<double[]>(gaPnts);
//for (int i = 0; i < fitpoints.Count; i++)
//fitpoints[i][2] += 15; //offset
SurfaceRBF tmpSurf = new SurfaceRBF(null, "best", fitpoints, GeneticBasis, targetPoly, 0.0);
double[] max = new double[3]; double[] min = new double[3];
max[0] = max[1] = max[2] = -1e9; //start max low
min[0] = min[1] = min[2] = +1e9; //start min high
fitpoints.ForEach((double[] v) =>
{
for (int i = 0; i < v.Length; i++) //get fit points' bounding box
{
max[i] = Math.Max(v[i], Max[i]);
min[i] = Math.Min(v[i], Min[i]);
}
});
double[] pnt1 = new double[3]; double[] pnt2 = new double[3];
List<double[]> errorSurfPnts = new List<double[]>();
double gridCount = 10.0;
List<devDept.Eyeshot.Labels.TextOnly> labels = new List<devDept.Eyeshot.Labels.TextOnly>();
for (double i = 0; i < gridCount; i += 1.0)
{
for (double j = 0; j < gridCount; j += 1.0)
{
pnt1 = new double[] { (i / (gridCount - 1)) * (Max[0] - Min[0]) + Min[0], (j / (gridCount - 1)) * (Max[1] - Min[1]) + Min[1], 0 };
pnt2 = new double[] { (i / (gridCount - 1)) * (Max[0] - Min[0]) + Min[0], (j / (gridCount - 1)) * (Max[1] - Min[1]) + Min[1], 0 };
target.Value(ref pnt1);
found.Value(ref pnt2);
errorSurfPnts.Add(new double[] { (i / (gridCount - 1)) * (Max[0] - Min[0]) + Min[0], (j / (gridCount - 1)) * (Max[1] - Min[1]) + Min[1], Math.Pow(pnt2[2] - pnt1[2], 2) });
labels.Add(new devDept.Eyeshot.Labels.TextOnly(new Point3D((i / (gridCount - 1)) * (Max[0] - Min[0]) + Min[0] + GridSize * 20, (j / (gridCount - 1)) * (Max[1] - Min[1]) + Min[1], Math.Pow(pnt1[2] - pnt2[2], 2)), Math.Pow(((pnt1[2] - pnt2[2]) / pnt1[2]), 1).ToString("#0.00"), new Font(FontFamily.GenericSansSerif, 12.0f), Color.White, ContentAlignment.BottomCenter));
}
}
SurfaceRBF tmpSurf2 = new SurfaceRBF(null, "error", errorSurfPnts, targetBasis, targetPoly, 0.0);
List<KeyValuePair<double[], double>> errorpts = tmpSurf2.GetMeshPointsCvt(50, 50, max, min, null);
MulticolorOnVerticesMesh errorMesh = new MulticolorOnVerticesMesh(0);
CreateMesh(errorpts, 50, ref errorMesh);
errorMesh.RegenMode = devDept.Eyeshot.Standard.Entity.regenType.RegenAndCompile;
errorMesh.EntityData = "errorSurface";
errorMesh.Translate(GridSize * 20, 0, 0);
AddEntity(errorMesh, false);
List<KeyValuePair<double[], double>> pts = tmpSurf.GetMeshPointsCvt(60, 60, max, min, null);
MulticolorOnVerticesMesh bestMesh = new MulticolorOnVerticesMesh(0);
CreateMesh(pts, 60, ref bestMesh);
bestMesh.RegenMode = devDept.Eyeshot.Standard.Entity.regenType.RegenAndCompile;
bestMesh.EntityData = "bestSurface";
bestMesh.Translate(-2 * GridSize * 10, 0, 0);
devDept.Eyeshot.Labels.TextOnly bestBasis = new devDept.Eyeshot.Labels.TextOnly(new Point3D(((gridCount / 2.0) / (gridCount - 1)) * (Max[0] - Min[0]) + Min[0] - (2 * GridSize * 10), ((gridCount / 2.0) / (gridCount - 1)) * (Max[1] - Min[1]) + Min[1], 20), GeneticBasis.ToString(), new Font(FontFamily.GenericSansSerif, 12.0f), Color.White, ContentAlignment.BottomCenter);
viewportProfessional1.Labels.Clear();
labels.ForEach((label) => { viewportProfessional1.Labels.Add(label); });
viewportProfessional1.Labels.Add(bestBasis);
AddEntity(bestMesh, false);
//for (int i = 0; i < fitpoints.Count; i++)
//fitpoints[i][2] -= 15; //offset
PointCloud fits = new PointCloud(doubleToPoint3d(fitpoints), 7.5f, Color.Blue);
fits.EntityData = "bestpoints";
AddEntity(fits, true);
pts.Clear();
bestChromo.Clear();
//GC.Collect();
}
}
void p1BRW_ProgressChanged(object sender, ProgressChangedEventArgs e)
{
if (p1BRW.CancellationPending == true)
Algo.Stop();
m_progBar.Value = e.ProgressPercentage;
if (e.UserState == null)
return;
List<int> bestChromo = (List<int>)e.UserState;
if (bestChromo.Count > 0)
{
List<double[]> GAPnts = new List<double[]>();
double[] result = EvalChromosome(ref bestChromo, ref GAPnts);
object curve = new object();
object plot = new object();
for (int j = 0; j < 1; j++)
{
switch (j + 1)
{
case 1:
curve = p1Curve;
plot = plotSurface2D1;
break;
case 2:
curve = p2Curve;
plot = plotSurface2D2;
break;
case 3:
curve = p3Curve;
plot = plotSurface2D3;
break;
case 4:
curve = p4Curve;
plot = plotSurface2D4;
break;
case 5:
curve = p5Curve;
plot = plotSurface2D5;
break;
case 6:
curve = p6Curve;
plot = plotSurface2D6;
break;
}
RBFCurve oldRBF = curve as RBFCurve;
CustomBasis GeneticBasis = new CustomBasis(16.383 / 2.0 - result[0], 16.383 / 2.0 - result[1], 16.383 / 2.0 - result[2], 16.383 / 2.0 - result[3]);
//List<double[]> fitpoints = new List<double[]>(oldRBF.OriginalFitPoints);
List<double[]> fitpoints = new List<double[]>(GAPnts);
if (RemoveExtraFitPoints)
{
fitpoints.RemoveAt(1);
fitpoints.RemoveAt(2);
}
RBFCurve GaRBF = new RBFCurve(null, "GA RBF", fitpoints, GeneticBasis, new Linear(null), 0.0);
NPlot.Windows.PlotSurface2D plotter = (NPlot.Windows.PlotSurface2D)plot;
plotter.Clear();
plotter.SmoothingMode = System.Drawing.Drawing2D.SmoothingMode.HighSpeed;
//Add a background grid for better chart readability.
NPlot.Grid grid = new NPlot.Grid();
grid.VerticalGridType = NPlot.Grid.GridType.Coarse;
grid.HorizontalGridType = NPlot.Grid.GridType.Coarse;
grid.MinorGridPen = new Pen(Color.Blue, 1.0f);
grid.MajorGridPen = new Pen(Color.LightGray, 1.0f);
plotter.Add(grid);
int length = oldRBF.FitPoints.Count * 5;
//Create a step plot instance for the balance chart.
LinePlot speed = new LinePlot();
LinePlot speed2 = new LinePlot();
PointPlot pplot = new PointPlot();
PointPlot pplot2 = new PointPlot();
pplot2.Marker = new Marker(Marker.MarkerType.Cross1, 10, System.Drawing.Color.Red);
speed.Pen = new Pen(Color.Blue, 1);
//Create the lists from which to pull data.
List<Int32> countaxis = new List<Int32>();
List<Int32> Pplotcountaxis = new List<Int32>();
List<Int32> Pplotcountaxis2 = new List<Int32>();
List<decimal> speedlist = new List<decimal>();
List<decimal> speedlist2 = new List<decimal>();
for (int i = 0; i < length; i++)
countaxis.Add(i);
for (int i = 0; i < oldRBF.FitPoints.Count; i++)
Pplotcountaxis.Add((int)oldRBF.OriginalFitPoints[i][0]);
for (int i = 0; i < GaRBF.FitPoints.Count; i++)
Pplotcountaxis2.Add((int)GaRBF.OriginalFitPoints[i][0]);
//Populate the balanceAmount list
double[] pnt;
List<decimal> pointsList = oldRBF.OriginalFitPoints.ConvertAll(new Converter<double[], decimal>((double[] dd) => { return Convert.ToDecimal(dd[1]); }));
List<decimal> pointsList2 = GaRBF.OriginalFitPoints.ConvertAll(new Converter<double[], decimal>((double[] dd) => { return Convert.ToDecimal(dd[1]); }));
for (int i = 0; i < length; i++)
{
pnt = new double[] { (double)i, 0 };
oldRBF.Value(ref pnt);
speedlist.Add(Convert.ToDecimal(pnt[1]));
pnt = new double[] { (double)i, 0 };
GaRBF.Value(ref pnt);
speedlist2.Add(Convert.ToDecimal(pnt[1]));
}
pplot.AbscissaData = Pplotcountaxis;
pplot.DataSource = pointsList;
pplot2.AbscissaData = Pplotcountaxis2;
pplot2.DataSource = pointsList2;
speed.AbscissaData = countaxis;
speed.DataSource = speedlist;
speed2.AbscissaData = countaxis;
speed2.DataSource = speedlist2;
//Add stepBalance to plotSurfaceBalance.
plotter.Add(speed);
plotter.Add(speed2);
plotter.Add(pplot);
plotter.Add(pplot2);
//Balance plot general settings.
plotter.ShowCoordinates = true;
plotter.AutoScaleAutoGeneratedAxes = true;
plotter.AddAxesConstraint(new AxesConstraint.AxisPosition(NPlot.PlotSurface2D.YAxisPosition.Left, 60));
plotter.YAxis1.Label = "Y";
plotter.YAxis1.LabelFont = new Font(this.Font, FontStyle.Bold);
plotter.YAxis1.LabelOffsetAbsolute = true;
plotter.XAxis1.Label = "X";
plotter.XAxis1.LabelFont = new Font(this.Font, FontStyle.Bold);
plotter.YAxis1.LabelOffset = 40;
plotter.XAxis1.HideTickText = false;
plotter.Padding = 5;
plotter.RightMenu = NPlot.Windows.PlotSurface2D.DefaultContextMenu;
plotter.AddInteraction(new NPlot.Windows.PlotSurface2D.Interactions.AxisDrag(false));
plotter.AddInteraction(new NPlot.Windows.PlotSurface2D.Interactions.HorizontalDrag());
plotter.AddInteraction(new NPlot.Windows.PlotSurface2D.Interactions.VerticalDrag());
plotter.Title = GeneticBasis.ToString();
plotter.TitleFont = new Font(this.Font, FontStyle.Bold);
//}
//Refresh surfaces.
plotter.Refresh();
}
Application.DoEvents();
}
}
private void SetPlots(int p, List<double[]> fitPoints)
{
object plot = new object();
object curve = new object();
IBasisFunction basis = new RBFBasis.ThinPlateSpline(null);
switch (Basis)
{
case BasisType.Cubic:
basis = new RBFBasis.PolyHarmonic3(null);
break;
case BasisType.Gaussian:
basis = new RBFBasis.Gaussian(null);
break;
case BasisType.Line:
basis = new RBFBasis.CustomBasis(null, 0, 0, 1, 0);
break;
case BasisType.Parabolic:
basis = new RBFBasis.ThinPlateSpline2(null);
break;
case BasisType.CubicParabolic:
if (p % 2 == 0)
basis = new RBFBasis.PolyHarmonic3(null);
else
basis = new RBFBasis.CustomBasis(null, 1, 1, -1, 0);
break;
}
switch (p)
{
case 1:
plot = plotSurface2D1;
//basis = new RBFBasis.Exponential(null);
p1Curve = new RBFCurve(null, "RBF " + p, fitPoints, basis, new RBFPolynomials.Linear(null), 0.0);
curve = p1Curve;
break;
case 2:
plot = plotSurface2D2;
//basis = new RBFBasis.Exponential(null);
p2Curve = new RBFCurve(null, "RBF " + p, fitPoints, basis, new RBFPolynomials.Linear(null), 0.0);
curve = p2Curve;
break;
case 3:
plot = plotSurface2D3;
//basis = new RBFBasis.Exponential(null);
p3Curve = new RBFCurve(null, "RBF " + p, fitPoints, basis, new RBFPolynomials.Linear(null), 0.0);
curve = p3Curve;
break;
case 4:
plot = plotSurface2D4;
//basis = new RBFBasis.Exponential(null);
p4Curve = new RBFCurve(null, "RBF " + p, fitPoints, basis, new RBFPolynomials.Linear(null), 0.0);
curve = p4Curve;
break;
case 5:
plot = plotSurface2D5;
//basis = new RBFBasis.Exponential(null);
p5Curve = new RBFCurve(null, "RBF " + p, fitPoints, basis, new RBFPolynomials.Linear(null), 0.0);
curve = p5Curve;
break;
case 6:
plot = plotSurface2D6;
// basis = new RBFBasis.Exponential(null);
p6Curve = new RBFCurve(null, "RBF " + p, fitPoints, basis, new RBFPolynomials.Linear(null), 0.0);
curve = p6Curve;
break;
}
if (Max[0] < fitPoints.Max(pt => pt[0]))
Max[0] = fitPoints.Max(pt => pt[0]);
if (Max[1] < fitPoints.Max(pt => pt[1]))
Max[1] = fitPoints.Max(pt => pt[1]);
if (Min[0] > fitPoints.Min(pt => pt[0]))
Min[0] = fitPoints.Min(pt => pt[0]);
if (Min[1] > fitPoints.Min(pt => pt[1]))
Min[1] = fitPoints.Min(pt => pt[1]);
NPlot.Windows.PlotSurface2D plotter = (NPlot.Windows.PlotSurface2D)plot;
RBFCurve RBF = (RBFCurve)curve;
//RBF = new RBFCurve(null, "RBF " + p, fitPoints, basis, new RBFPolynomials.Linear(null), 0.0);
plotter.Clear();
plotter.SmoothingMode = System.Drawing.Drawing2D.SmoothingMode.HighSpeed;
//Add a background grid for better chart readability.
NPlot.Grid grid = new NPlot.Grid();
grid.VerticalGridType = NPlot.Grid.GridType.Coarse;
grid.HorizontalGridType = NPlot.Grid.GridType.Coarse;
grid.MinorGridPen = new Pen(Color.Blue, 1.0f);
grid.MajorGridPen = new Pen(Color.LightGray, 1.0f);
plotter.Add(grid);
int length = fitPoints.Count * 5;
//Create a step plot instance for the balance chart.
LinePlot speed = new LinePlot();
PointPlot pplot = new PointPlot();
speed.Pen = new Pen(Color.Blue, 1);
//Create the lists from which to pull data.
List<Int32> countaxis = new List<Int32>();
List<Int32> Pplotcountaxis = new List<Int32>();
List<decimal> speedlist = new List<decimal>();
for (int i = 0; i < length; i++)
countaxis.Add(i);
for (int i = 0; i < fitPoints.Count; i++)
Pplotcountaxis.Add((int)fitPoints[i][0]);
//Populate the balanceAmount list
double[] pnt;
List<decimal> pointsList = fitPoints.ConvertAll(new Converter<double[], decimal>((double[] dd) => { return Convert.ToDecimal(dd[1]); }));
for (int i = 0; i < length; i++)
{
pnt = new double[] { (double)i, 0 };
RBF.Value(ref pnt);
speedlist.Add(Convert.ToDecimal(pnt[1]));
}
//foreach (double value in pent.Speeds)
//{
// speedlist.Add(Convert.ToDecimal(value) / 1200);
//}
pplot.AbscissaData = Pplotcountaxis;
pplot.DataSource = pointsList;
speed.AbscissaData = countaxis;
speed.DataSource = speedlist;
//Add stepBalance to plotSurfaceBalance.
plotter.Add(speed);
plotter.Add(pplot);
//Balance plot general settings.
plotter.ShowCoordinates = true;
//plotter.YAxis1.WorldMax = 10;
//plotter.YAxis1.WorldMin = 0;
//this.YAxis1.
plotter.AutoScaleAutoGeneratedAxes = true;
plotter.AddAxesConstraint(new AxesConstraint.AxisPosition(NPlot.PlotSurface2D.YAxisPosition.Left, 60));
//Label Label1 = new Label();
//Label1.Font = new Font(Label1.Font, FontStyle.Bold);
//plotter.YAxis1.
plotter.YAxis1.Label = "Y";
plotter.YAxis1.LabelFont = new Font(this.Font, FontStyle.Bold);
plotter.YAxis1.LabelOffsetAbsolute = true;
plotter.XAxis1.Label = "X";
plotter.XAxis1.LabelFont = new Font(this.Font, FontStyle.Bold);
plotter.YAxis1.LabelOffset = 40;
plotter.XAxis1.HideTickText = false;
plotter.Padding = 5;
plotter.RightMenu = NPlot.Windows.PlotSurface2D.DefaultContextMenu;
plotter.AddInteraction(new NPlot.Windows.PlotSurface2D.Interactions.AxisDrag(false));
plotter.AddInteraction(new NPlot.Windows.PlotSurface2D.Interactions.HorizontalDrag());
plotter.AddInteraction(new NPlot.Windows.PlotSurface2D.Interactions.VerticalDrag());
plotter.Title = basis.Label;
plotter.TitleFont = new Font(this.Font, FontStyle.Bold);
//}
//Refresh surfaces.
plotter.Refresh();
}
public Form1()
{
InitializeComponent();
SetupWorkers();
InitializePlots();
InstatiatePlotData();
stat = ((string message) => { m_status.Text = message; });
Eval = new Evaluator((ref List<int> binaryCoded, ref List<int> bestChromo) =>
{
if (binaryCoded.Count == 0)
return 0;
double error = 0;
List<double[]> gaPnts = new List<double[]>();
double[] result = EvalChromosome(ref binaryCoded, ref gaPnts);
CustomBasis GeneticBasis = new CustomBasis(16.383 / 2.0 - result[0], 16.383 / 2.0 - result[1], 16.383 / 2.0 - result[2], 16.383 / 2.0 - result[3]);
double[] pnt1, pnt2, dx1, dx2;
object curve = new object();
object plot = new object();
for (int j = 0; j < 1; j++)
{
switch (j + 1)
{
case 1:
curve = p1Curve;
plot = plotSurface2D1;
break;
case 2:
curve = p2Curve;
plot = plotSurface2D2;
break;
case 3:
curve = p3Curve;
plot = plotSurface2D3;
break;
case 4:
curve = p4Curve;
plot = plotSurface2D4;
break;
case 5:
curve = p5Curve;
plot = plotSurface2D5;
break;
case 6:
curve = p6Curve;
plot = plotSurface2D6;
break;
}
RBFCurve oldRBF = curve as RBFCurve;
//List<double[]> fitpoints = new List<double[]>(oldRBF.OriginalFitPoints);
List<double[]> fitpoints = new List<double[]>(gaPnts);
if (RemoveExtraFitPoints)
{
fitpoints.RemoveAt(1);
fitpoints.RemoveAt(2);
}
RBFCurve GaRBF = new RBFCurve(null, "GA RBF", fitpoints, GeneticBasis, new Linear(null), 0.0);
for (int i = 0; i < 30; i++)
{
dx1 = new double[2];
dx2 = new double[2];
pnt1 = new double[] { (double)i, 0 };
pnt2 = new double[] { (double)i, 0 };
GaRBF.First(ref pnt1, ref dx1);
oldRBF.First(ref pnt2, ref dx2);
error += Math.Pow(pnt1[1] - pnt2[1], 2);
error += Math.Pow(Math.Pow(dx2[0] - dx1[0], 2) + Math.Pow(dx2[1] - dx1[1], 2), 2);
}
//int count = 0;
double pntError = 1000;
gaPnts.ForEach((pnt) =>
{
dx1 = new double[2];
dx2 = new double[2];
pnt2 = new double[] { pnt[0], pnt[1] };
GaRBF.First(ref pnt, ref dx1);
oldRBF.First(ref pnt, ref dx2);
error += 10 * Math.Pow(pnt2[1] - pnt[1], 2);
//error += Math.Pow(Math.Pow(dx2[0] - dx1[0], 2) + Math.Pow(dx2[1] - dx1[1], 2), 2);
});
//gaPnts.ForEach((pnt) =>
// {
// if (oldRBF.OriginalFitPoints.Find((Oldpnt) => { return Oldpnt[0] == pnt[0] && Oldpnt[1] == pnt[1]; }) != null)
// count++;
// else
// error *= 4;
// });
//if(count != 0)
// pntError /= ((double)count / 5.0) * 1000.0;
error += pntError;
}
return Math.Pow(error, -1);
});
}
