internal double Train()
{
lock (tempRoute)
{
if (tempRoute.Count > 0)
{
route.AddRange(tempRoute);
int length = (route.Count - NEEDED_COUNT) / 2;
if (length > inputLength)
{
length = inputLength;
}
if ((length > 0) && ((mlp == null) || (mlp.inputLength != length)))
{
mlp = new PredictorMLP(2, length);
}
if (route.Count > maxLength)
{
route.RemoveRange(0, route.Count - maxLength);
}
tempRoute.Clear();
}
}
double[] input = MakeInput(route);
if ((input != null) && (mlp != null))
{
return(mlp.Train(input));
}
else
{
return(0);
}
}
internal double Train()
{
lock (tempRoute)
{
if (tempRoute.Count > 0)
{
route.AddRange(tempRoute);
int length = (route.Count - NEEDED_COUNT) / 2;
if (length > inputLength) length = inputLength;
if ((length > 0) && ((mlp == null) || (mlp.inputLength != length))) mlp = new PredictorMLP(2, length);
if (route.Count > maxLength) route.RemoveRange(0, route.Count - maxLength);
tempRoute.Clear();
}
}
double[] input = MakeInput(route);
if ((input != null) && (mlp != null)) return mlp.Train(input);
else return 0;
}
