The Discrimination of City Gas and Alcohol by Using One Semiconductor Gas Sensor

Abstract

Neural networks were examined to discriminate the vapor of alcohol and spirits from the city gas. As the result, very good discrimination rates, that is 100% for the spirits and city gas and 95% for the alcohol and city gas, were achieved.
We expect that the incorrect operations of gas detectors will be disappered provided that above method was utilized with microprocessors.