/// <summary>
/// Network learns new curve
/// (adds curve to collection and runs training )
/// </summary>
/// <param name="curve">Curve</param>
public void LearnNewCurve(ClassicCurve curve)
{
int position = FindFreePosition();
if (position == -1)
{
// maximum amount of gestures that can be learnt is reached
return;
}
StopLearning(); //just for sure...
//if (threadTrainNetwork != null && threadTrainNetwork.IsAlive)
// threadTrainNetwork.Abort();
//if (m_newCurveAdded) m_curves.RemoveAt(m_curves.Count - 1);
MyCurve curveToTrain = new MyCurve(curve.ID, curve.Points);
curve.NnIndex = position;
curveToTrain.CreateTrainingSet();
// Might happen that curve sets is not compatible with curves
// therefore it is required to reinicialize it
if (m_curveSets.ContainsKey(curve.ID))
{
CreateTrainingSet();
}
m_curveSets.Add(curve.ID, curveToTrain);
m_curves.Add(curve.ID, curve);
InitializeNetwork();
OnNetworkStartTraining();
threadTrainNetwork = new Thread(new ThreadStart(TrainNeuralNetwork));
threadTrainNetwork.Start();
}
private void CreateTrainingSet()
{
m_curveSets = new Dictionary <string, MyCurve>();
foreach (ClassicCurve curve in m_curves.Values)// ClassicCurve curve in m_curves)
{
MyCurve c = new MyCurve(curve.ID, curve.Points);
c.CreateTrainingSet();
m_curveSets.Add(curve.ID, c);
}
}
/// <summary>
/// Network learns new curve
/// (adds curve to collection and runs training )
/// </summary>
/// <param name="curve">Curve</param>
public void LearnNewCurve(ClassicCurve curve)
{
int position = FindFreePosition();
if (position == -1)
{
// maximum amount of gestures that can be learnt is reached
return;
}
StopLearning(); //just for sure...
//if (threadTrainNetwork != null && threadTrainNetwork.IsAlive)
// threadTrainNetwork.Abort();
//if (m_newCurveAdded) m_curves.RemoveAt(m_curves.Count - 1);
MyCurve curveToTrain = new MyCurve(curve.ID, curve.Points);
curve.NnIndex = position;
curveToTrain.CreateTrainingSet();
// Might happen that curve sets is not compatible with curves
// therefore it is required to reinicialize it
if (m_curveSets.ContainsKey(curve.ID))
CreateTrainingSet();
m_curveSets.Add(curve.ID, curveToTrain);
m_curves.Add(curve.ID, curve);
InitializeNetwork();
OnNetworkStartTraining();
threadTrainNetwork = new Thread(new ThreadStart(TrainNeuralNetwork));
threadTrainNetwork.Start();
}
private void CreateTrainingSet()
{
m_curveSets = new Dictionary<string, MyCurve>();
foreach (ClassicCurve curve in m_curves.Values)// ClassicCurve curve in m_curves)
{
MyCurve c = new MyCurve(curve.ID, curve.Points);
c.CreateTrainingSet();
m_curveSets.Add(curve.ID, c);
}
}