ADAPTIVE RESONANCE NEURAL CLASSIFIER FOR IDENTIFICATION OF GASES ODOURS USING AN INTEGRATED SENSOR ARRAY/

A new approach to intelligent gas sensor (IGS) design using a classifi er based on adaptive resonance theory (ART) artificial neural network (ANN) is presented. Using published data of sensor arrays fabricated a nd characterised at our laboratory, we demonstrate excellent gas/odour identification performance of our classifier for a 4-gas, 4-sensor sy stem to identify individual gas/odour. Since the ART neural network is a self-organising classifier trained in the unsupervised mode, it avo ids the drawbacks associated with static feedforward neural networks t rained with locally optimal backpropagation-type training algorithms a pplied by researchers in the recent past. The ART neural network offer s easy implementability and real time performance in addition to givin g excellent classification accuracy as demonstrated by our experiments . (C) 1998 Elsevier Science S.A. All rights reserved.