public double GetTotalHappines()
{
Preferences data = Preferences.GetInstance();
int Preference = 0;
// Calculate matrix neurons weight
for (int y = 0; y < m_height; y++)
{
for (int x = 0; x < m_width; x++)
{
Neuron N = m_neurons[y, x];
if (0 < N.Value)
{
Preference += data.GetPreferenceByMen(y, x + 1) - 1;
}
}
}
return((100.0 * (90.0 - Preference)) / 90.0);
}
public virtual bool Calculate(bool verbose)
{
Preferences Data = Preferences.GetInstance();
double A = 1;
double B = 1;
double C = 1;
double D = 1;
double prevValue = m_Value;
int selfPreference = Data.GetPreferenceByMen(Y, X + 1);
double newValue = 0;
double Sum = 0;
foreach (Neuron Ni in m_Inputs)
{
if (0 < Ni.Value)
{
if (Ni.Y == Y)
{
newValue -= A * Ni.Value;
Debug.Assert(selfPreference != Data.GetPreferenceByMen(Ni.Y, Ni.X + 1));
if (selfPreference > Data.GetPreferenceByMen(Ni.Y, Ni.X + 1))
{
newValue -= D * Ni.Value;
}
else
{
newValue += D * Ni.Value;
}
}
if (Ni.X == X)
{
newValue -= B * Ni.Value;
if ((selfPreference == Data.GetPreferenceByMen(Ni.Y, Ni.X + 1) && Value < Ni.Value) ||
selfPreference > Data.GetPreferenceByMen(Ni.Y, Ni.X + 1))
{
newValue -= D * Ni.Value;
}
else
{
newValue += D * Ni.Value;
}
}
Sum += Ni.Value;
}
}
newValue -= C * (Sum - 10);
newValue = Math.Tanh(newValue);
//m_Value = newValue;
m_Value = 0.8 * prevValue + 0.2 * newValue;
double Change = Math.Abs(m_Value / prevValue - 1);
bool Stable = Change < 0.0005;
return(Stable);
}
