private void CalculateGradient()
{
var gradientP = HelperFunctions.ArrayInitializer(NumberOfRules, false);
var gradientQ = HelperFunctions.ArrayInitializer(NumberOfRules, false);
var gradientR = HelperFunctions.ArrayInitializer(NumberOfRules, false);
var gradientA1 = HelperFunctions.ArrayInitializer(NumberOfRules, false);
var gradientA2 = HelperFunctions.ArrayInitializer(NumberOfRules, false);
var gradientB1 = HelperFunctions.ArrayInitializer(NumberOfRules, false);
var gradientB2 = HelperFunctions.ArrayInitializer(NumberOfRules, false);
foreach (var sample in TrainingData)
{
var f = CalculateF(sample.X, sample.Y, out var w, out var z);
for (int i = 0; i < NumberOfRules; i++)
{
gradientP[i] += GradientP(i, sample, f, w);
gradientQ[i] += GradientQ(i, sample, f, w);
gradientR[i] += GradientR(i, sample, f, w);
gradientA1[i] += GradientA1(sample, i, f, w, z);
gradientA2[i] += GradientA2(sample, i, f, w, z);
gradientB1[i] += GradientB1(sample, i, f, w, z);
gradientB2[i] += GradientB2(sample, i, f, w, z);
}
}
for (int i = 0; i < NumberOfRules; i++)
{
Update(i, gradientP[i], gradientQ[i], gradientR[i], gradientA1[i], gradientA2[i], gradientB1[i], gradientB2[i]);
}
}
private void InitArrays()
{
A1 = HelperFunctions.ArrayInitializer(NumberOfRules);
A2 = HelperFunctions.ArrayInitializer(NumberOfRules);
B1 = HelperFunctions.ArrayInitializer(NumberOfRules);
B2 = HelperFunctions.ArrayInitializer(NumberOfRules);
P = HelperFunctions.ArrayInitializer(NumberOfRules);
Q = HelperFunctions.ArrayInitializer(NumberOfRules);
R = HelperFunctions.ArrayInitializer(NumberOfRules);
}
