// A sample pattern list
static PatternList CreatePatternList()
{
var patterns = new PatternList();
var input = new double[] { one, one, one, one, one };
var output = new double[] { one };
patterns.Add(input, output);
input = new double[] { one, one, one, one, zero };
output = new double[] { one };
patterns.Add(input, output);
input = new double[] { one, zero, one, one, one };
output = new double[] { one };
patterns.Add(input, output);
input = new double[] { one, one, one, zero, one };
output = new double[] { one };
patterns.Add(input, output);
input = new double[] { one, zero, one, one, one };
output = new double[] { one };
patterns.Add(input, output);
input = new double[] { zero, one, one, one, one };
output = new double[] { one };
patterns.Add(input, output);
input = new double[] { one, one, zero, one, zero };
output = new double[] { zero };
patterns.Add(input, output);
input = new double[] { zero, one, zero, one, one };
output = new double[] { zero };
patterns.Add(input, output);
input = new double[] { zero, one, zero, one, one };
output = new double[] { zero };
patterns.Add(input, output);
input = new double[] { zero, one, zero, one, one };
output = new double[] { zero };
patterns.Add(input, output);
input = new double[] { zero, one, zero, one, one };
output = new double[] { zero };
patterns.Add(input, output);
input = new double[] { one, one, one, zero, zero };
output = new double[] { zero };
patterns.Add(input, output);
input = new double[] { one, one, zero, one, one };
output = new double[] { one };
patterns.Add(input, output);
input = new double[] { one, zero, one, zero, one };
output = new double[] { zero };
patterns.Add(input, output);
input = new double[] { one, one, one, one, one };
output = new double[] { one };
patterns.Add(input, output);
input = new double[] { zero, one, one, one, zero };
output = new double[] { zero };
patterns.Add(input, output);
input = new double[] { zero, one, zero, one, one };
output = new double[] { one };
patterns.Add(input, output);
input = new double[] { one, one, zero, one, one };
output = new double[] { one };
patterns.Add(input, output);
input = new double[] { zero, one, zero, one, zero };
output = new double[] { zero };
patterns.Add(input, output);
input = new double[] { zero, zero, zero, zero, zero };
output = new double[] { zero };
patterns.Add(input, output);
return patterns;
}
public int TrainNetwork(PatternList patterns, int maxMatch, int maxCycles, double threshold, bool verbose)
{
int counter = 0;
int maxSuccess = 0;
int limit = patterns.Count();
int success;
bool whileFlag;
if (maxMatch < 0)
{
maxMatch = limit;
}
do
{
success = 0;
for (int i = 0; i < limit; i++)
{
var pattern = patterns.Get(i);
network.RunNetwork(pattern.Input);
double[] rawResults = network.TrainNetWork(pattern.Output);
int[] truth = MathHelper.ThresholdArray(threshold, pattern.Output);
int[] results = MathHelper.ThresholdArray(threshold, rawResults);
pattern.Trained = true;
for (int j = 0; j < results.Length; j++)
{
if (results[j] != truth[j])
{
pattern.Trained = false;
}
}
if (pattern.Trained)
{
++success;
}
}
if (maxSuccess < success)
{
maxSuccess = success;
}
if ((++counter % 10000) == 0)
{
if (verbose)
{
Console.WriteLine(counter + " success:" + success + " needed:" + patterns.Count() + " best run:" + maxSuccess);
}
}
whileFlag = success < limit;
if ((maxCycles > -1 && counter >= maxCycles) || success >= maxMatch)
{
whileFlag = false;
}
} while (whileFlag);
if (verbose)
{
Console.WriteLine("Training was completed in " + counter + " cycles. " + maxSuccess + " patterns were learned.");
}
return(success);
}
public int TrainNetwork(PatternList patterns, int maxMatch, int maxCycles, double threshold, bool verbose)
{
int counter = 0;
int maxSuccess = 0;
int limit = patterns.Count();
int success;
bool whileFlag;
if (maxMatch < 0)
{
maxMatch = limit;
}
do
{
success = 0;
for (int i = 0; i < limit; i++)
{
var pattern = patterns.Get(i);
network.RunNetwork(pattern.Input);
double[] rawResults = network.TrainNetWork(pattern.Output);
int[] truth = MathHelper.ThresholdArray(threshold, pattern.Output);
int[] results = MathHelper.ThresholdArray(threshold, rawResults);
pattern.Trained = true;
for (int j = 0; j < results.Length; j++)
{
if (results[j] != truth[j])
{
pattern.Trained = false;
}
}
if (pattern.Trained)
{
++success;
}
}
if (maxSuccess < success)
{
maxSuccess = success;
}
if ((++counter % 10000) == 0)
{
if (verbose)
{
Console.WriteLine(counter + " success:" + success + " needed:" + patterns.Count() + " best run:" + maxSuccess);
}
}
whileFlag = success < limit;
if ((maxCycles > -1 && counter >= maxCycles) || success >= maxMatch)
{
whileFlag = false;
}
} while (whileFlag);
if (verbose)
{
Console.WriteLine("Training was completed in " + counter + " cycles. " + maxSuccess + " patterns were learned.");
}
return success;
}
