Accurate identification of gas type and concentration using DNN reflecting the sensing properties of MOSFET-type gas sensor

摘要

S gases are investigated in changing temperature and concentration conditions. The same gas sensor data and temperature sensor data are analyzed by PCA and DNN algorithms. PCA provides gas type classification results without information on gas concentration. However, DNN regression model has the ability to precisely identify gas concentration and gas type in changing temperature conditions.