//
// Find fitness of this particle for all training data
// - This is the summed squared error
public double GetFitness(double[][] inputArray, double[][] outputArray)
{
double error = 0; // Initialize error to 0
// Get error
int row = 0;
foreach (double[] line in inputArray)
{
double[] output = currNetwork.Think(line);
int col = 0;
foreach (double val in output)
{
error += Math.Abs((val - outputArray[row][col]) * (val - outputArray[row][col]));
col++;
}
row++;
}
ParticleFitness = error;
// Check for personal best
if (ParticleFitness < PersonalBest)
{
PersonalBest = ParticleFitness;
bestNetwork = currNetwork.SetWeights();
}
return(ParticleFitness);
}
//
// Get MSE of global best network to test data
public double BestTestFitness()
{
double error = 0; // Initialize error to 0
// Get error
int row = 0;
foreach (double[] line in TestInputs)
{
double[] output = bestNetwork.Think(line);
int col = 0;
foreach (double val in output)
{
error += Math.Abs((val - TestOutputs[row][col]) * (val - TestOutputs[row][col]));
col++;
}
row++;
}
return(error / TestInputs.Length);
}