1. A method of evaluating whether a vehicle under test is operating as intended, said method comprising: sampling parameters of the vehicle at a plurality of sample times to obtain a plurality of data samples; including data samples from more than one of the sample times in a sample set; and inputting the sample set to an artificial neural network (ANN).