public void shwh(NeuronDotNet.Core.Backpropagation.BackpropagationNetwork net)
{
plat = new Bitmap(Width, Height);
List <HeatPoint> pt = new List <HeatPoint>();
int x = 0;
int y = 0;
int mh = 0;
while (true)
{
mh += 7;
if (y > Height)
{
break;
}
if (x > Width)
{
x = 0;
y += 7;
continue;
}
if (net.Run(new double[] { (double)x / ((double)Width), (double)y / ((double)Height) })[0] < 0.5)
{
pt.Add(new HeatPoint(x, y, 120));
}
x += 1;
}
}
public unsafe void shw(NeuronDotNet.Core.Backpropagation.BackpropagationNetwork net)
{
plat = new Bitmap(Width, Height);
List <HeatPoint> pt = new List <HeatPoint>();
int x = 0;
int y = 0;
int mh = 0;
while (true)
{
mh += 1;
if (y > Height)
{
break;
}
if (x > Width)
{
x = 0;
y += 20;
continue;
}
double dbl = net.Run(new double[] { (double)x / ((double)Width), (double)y / ((double)Height) })[0];
if (dbl < 0.5)
{
pt.Add(new HeatPoint(x, y, (byte)(190 + (int)((dbl * 5.00) * 30))));
}
x += 20;
}
Heatmap hm = new Heatmap();
hm.CreateIntensityMask(plat, pt);
plat = Heatmap.Colorize(plat, 255);
Invalidate();
}
public test2d(NeuronDotNet.Core.Backpropagation.BackpropagationNetwork net)
{
network = net;
InitializeComponent();
}
