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.
