APPLICATION OF ITERATION TECHNIQUE IN ASSOCIATION WITH MULTIPLE-REGRESSION METHOD FOR IDENTIFICATION OF MIXTURES OF GASES USING AN INTEGRATED GAS-SENSOR ARRAY

This paper deals with the discrimination of gases using the responses of an integrated gas sensor. The multiple regression method is used to find the sensor parameters for different gases in training mode. In s niffing mode, these parameters are used to discriminate the gases pres ent in the ambient using the iteration technique. These methods, i.e., the multiple regression method and iteration technique, have been suc cessfully applied to the data set obtained in our laboratory for a mix ture of carbon tetrachloride and ethyl methyl ketone exposed to a fabr icated integrated gas-sensor array. These methods can effectively be u sed for the realization of an 'intelligent gas sensor'.