Classification of vintages of wine by artificial nose using time delay neuralnetworks

A pattern recognition system for an artificial nose is presented. It is composed of artificial neural networks with time delay taps on their inputs. For the classification of vintages of wine, it achieves better results (mean classification error of 4.32%) than those obtained by networks without delay taps (42.79%).