//Takes in weights, phi challenges and target response bits, gives average error of APUF model
public override double ObjFunValue(double[] weightVector, double[][] phiChallenges, double[][] targets)
{
int bitNum = phiChallenges[0].Length - 1;
XORArbiterPUF xModel = new XORArbiterPUF(bitNum, weightVector);
int sampleNumber = phiChallenges.Length; //Number of challenge-response pairs (number of training samples)
double error = 0;
for (int currentSample = 0; currentSample < sampleNumber; currentSample++)
{
double currentTarget = targets[currentSample][0];
double modelOutput = xModel.ComputeResponse(phiChallenges[currentSample]);
if (modelOutput != currentTarget)
{
error++;
}
}
error = error / (double)sampleNumber; //Give the average error
return(error);
}
