public override Color Compute(double x, double y)
{
double[] response = _neuralNetwork.Response(new double[] { x, y });
if (response.Length > _outputColors.Count)
{
throw new InvalidOperationException(
"The number of outputs is greater than the number of colors.");
}
double red = 0.0, green = 0.0, blue = 0.0, alpha = 0.0;
for (int i = 0; i < response.Length; i++)
{
double scaledResult = response[i] * _outputScale + _outputOffset;
red += _outputColors[i].R * scaledResult;
green += _outputColors[i].G * scaledResult;
blue += _outputColors[i].B * scaledResult;
alpha += _outputColors[i].A * scaledResult;
}
if (_brightnessScaling)
{
red /= response.Length;
green /= response.Length;
blue /= response.Length;
alpha /= response.Length;
}
return(Color.FromArgb(
ClampColorValue(alpha),
ClampColorValue(red),
ClampColorValue(green),
ClampColorValue(blue)
));
}
internal void PerformTeaching(double teachingRatio)
{
/* We assume that we have non-zero amount of elements in the teaching set,
* so we don't check if the 0 index is correct. This condition is
* established by LoadTeachingSet(). */
if (++_currentElementIndex >= _teachingSet.Count)
{
_currentElementIndex = 0;
}
_examinedNetwork.LearnSimple(CurrentNormalizedElement, teachingRatio,
ref _previousResponse, ref _previousError);
_currentResponse =
_examinedNetwork.Response(CurrentNormalizedElement.Inputs);
_currentError = new double[_currentResponse.Length];
for (int i = 0; i < _currentResponse.Length; i++)
{
_currentError[i] =
CurrentElement.ExpectedOutputs[i] - _currentResponse[i];
}
/*double avg = 0.0;
* foreach (double err in _currentError)
* avg += Math.Abs(err);
* avg /= _currentError.Length;
* _progressHistory.Buffer.Add((float)avg);*/
double avg = 0.0;
foreach (TeachingSet.Element elem in _normalizedTeachingSet)
{
double[] resp = _examinedNetwork.Response(elem.Inputs);
for (int i = 0; i < resp.Length; i++)
{
avg += Math.Abs(elem.ExpectedOutputs[i] - resp[i]);
}
}
avg /= _examinedNetwork.OutputCount * _normalizedTeachingSet.Count;
_progressHistory.Buffer.Add((float)avg);
_teachingStep++;
}