A comparative study of neural network to artificial noses

Artificial neural networks have been used to classify odor patterns and are showing promising results. In this paper we present four different models of neural networks to implement pattern recognition system in artificial noses. The models investigated are the multi-layer perceptrons, two different implementations of the radial basis function networks and the probabilistic neural network. All the models were tested with and without temporal processing. A complex data base with nine different classes was used in this paper