/// <summary>
/// Select a pattern and shuffle it (if shuffle is enabled).
/// </summary>
/// <param name="position">The index of the pattern.</param>
public void SelectShuffledPattern(int position)
{
Pattern pattern = _patterns[position];
pattern.SyncInputTo(_inputPattern, _config.Basic);
if (_config.ShuffleEnable.Value)
{
for (int i = 0; i < _inputPattern.Length; i++)
{
_inputPattern[i] = _config.ShuffleInputNoiseSwap(_inputPattern[i]);
}
}
pattern.SyncTrainingTo(_outputTraining, _config.Basic);
if (!_config.Basic.QuietModeEnable.Value)
{
if (PatternSelectionChanged != null)
{
PatternSelectionChanged(this, new PatternPositionEventArgs(pattern, position));
}
if (InputChanged != null)
{
InputChanged(this, EventArgs.Empty);
}
if (TrainingChanged != null)
{
TrainingChanged(this, EventArgs.Empty);
}
}
}
/// <summary>
/// Count matching (successful trained) patterns.
/// </summary>
/// <returns>The number of matching patterns</returns>
public int CountSuccessfulPatterns()
{
//backup input data
double[] bkp = _inputPattern;
_inputPattern = new double[bkp.Length];
bkp.CopyTo(_inputPattern, 0);
_network.FirstLayer.BindActivity(_inputPattern);
//loop through patterns
int c = 0;
Pattern pattern = null;
for (int i = 0; i < _patterns.Count; i++)
{
pattern = (Pattern)_patterns[i];
pattern.SyncInputTo(_inputPattern, _config.Basic);
_network.CalculateFeedforward();
if (_network.LastLayer.EvaluateBiggestOutputNeuron() == pattern.Classification)
{
c++;
}
}
//restore input data and network.
_inputPattern = bkp;
_network.FirstLayer.BindActivity(_inputPattern);
_network.CalculateFeedforward();
return(c);
}
/// <summary>
/// Select a pattern.
/// </summary>
/// <param name="position">The index of the pattern.</param>
public void SelectPattern(int position)
{
Pattern pattern = _patterns[position];
pattern.SyncInputTo(_inputPattern, _config.Basic);
pattern.SyncTrainingTo(_outputTraining, _config.Basic);
if (!_config.Basic.QuietModeEnable.Value)
{
if (PatternSelectionChanged != null)
{
PatternSelectionChanged(this, new PatternPositionEventArgs(pattern, position));
}
if (InputChanged != null)
{
InputChanged(this, EventArgs.Empty);
}
if (TrainingChanged != null)
{
TrainingChanged(this, EventArgs.Empty);
}
}
}
