/// <summary>
/// Добавление модели
/// </summary>
public void AddModel(Vector[] vec, string name)
{
Vector[] vectors = vec;
Vector[] components = new Vector[vectors[0].N];
SModel sMode = new SModel
{
NameClass = name
};
for (int i = 0; i < components.Length; i++)
{
components[i] = new Vector(vectors.Length);
for (int j = 0; j < vectors.Length; j++)
{
components[i].DataInVector[j] = vectors[j].DataInVector[i];
}
sMode.Add(new SModelComponent(Statistic.ExpectedValue(components[i]), Statistic.Std(components[i])));
}
sMode.Weights = new Vector(sMode.Count) + 0.0001;
models.Add(sMode);
}
/// <summary>
/// Распознавание вектора
/// </summary>
/// <param name="inp">Вектор</param>
/// <returns>Имя класса</returns>
public string RecognizeVector(Vector inp)
{
Vector input = inp;
SModel model = Output(input);
return(model.Probability >= Threshold ? model.NameClass : "none");
}
/// <summary>
/// Вероятности принадлежности к классу
/// </summary>
/// <param name="vect"></param>
/// <param name="sm"></param>
void GetProbability(double[] vect, SModel sm)
{
for (int i = 0; i < vect.Length; i++)
{
sm[i].pr = DistributionFunc.GaussNorm1(vect[i], sm[i]._e, sm[i]._sco);
}
sm.CalculateProb();
}
private Vector GW(SModel model1, SModel model2)
{
Vector w = new Vector(model1.Count);
for (int i = 0; i < model1.Count; i++)
{
w[i] = Math.Abs(model1[i]._e - model2[i]._e);
}
return(w);
}
/// <summary>
/// Добавление модели
/// </summary>
public void AddModel(Vector[] vectors, string name)
{
Vector[] components = new Vector[vectors[0].N];
SModel sMode = new SModel();
sMode.NameClass = name;
for (int i = 0; i < components.Length; i++)
{
components[i] = new Vector(vectors.Length);
for (int j = 0; j < vectors.Length; j++)
{
components[i].Vecktor[j] = vectors[j].Vecktor[i];
}
sMode.Add(new SModelComponent(Statistic.ExpectedValue(components[i]), Statistic.Sco(components[i])));
}
models.Add(sMode);
}
/// <summary>
/// Распознавание вектора
/// </summary>
/// <param name="inp">Вектор</param>
/// <returns>Имя класса</returns>
public string RecognizeVector(Vector inp)
{
SModel model = Output(inp);
return(model.Probability >= Porog ? model.NameClass : "none");
}