Single Gas Quantitative Identification of Sensors Based on BP Algorithm

Gas qualitative identification and quantitative analysis are always the main difficulties in the field of gas detection,and also the research hotspot in gas sensors application.Based on several gas sensors for gas qualitative analysis and the real-time data acquisition,this paper used BP network analysis method,realized the gas quantitative identification,and then wade comparative analysis of the error of the training pre-and post gas concentration data.The simulation results show that the average relative errors are controlled within 1%,the maximum relative errors are controlled within 2% and improve the prediction precision of the gas concentration.