/// <summary>
/// Called just before a training iteration.
/// </summary>
///
public virtual void PreIteration()
{
if (_train.Error > _acceptableThreshold)
{
if (!Double.IsNaN(_lastError))
{
double improve = (_lastError - _train.Error);
if (improve < _required)
{
_badCycleCount++;
if (_badCycleCount > _cycles)
{
EncogLogging.Log(EncogLogging.LevelDebug,
"Failed to improve network, resetting.");
_method.Reset();
_badCycleCount = 0;
_lastError = Double.NaN;
}
}
else
{
_badCycleCount = 0;
}
}
else
{
_lastError = _train.Error;
}
}
_lastError = Math.Min(_train.Error, _lastError);
}
/// <summary>
/// Called just before a training iteration.
/// </summary>
///
public virtual void PreIteration()
{
if (_train.Error > _required)
{
_badCycleCount++;
if (_badCycleCount > _cycles)
{
EncogLogging.Log(EncogLogging.LevelDebug,
"Failed to imrove network, resetting.");
_method.Reset();
_badCycleCount = 0;
}
}
else
{
_badCycleCount = 0;
}
}
