A method of evaluating whether a vehicle under test is operating as intended. Parameters of the vehicle are sampled at a plurality of sample times to obtain a plurality of data samples. Data samples from more than one of the sample times are included in a sample set. The sample set is input to an artificial neural network (ANN). Many time-varying parameters, e.g., response times in motor vehicle systems, can be detected and evaluated.