Based on a brief overview of the principle of electronic nose system, the characteristic structure and recognition principle of artificial neural network pattern recognition are analyzed. An artificial neural network based hybrid gas detection method is proved. The result of artificial neural network pattern recognition and gas sensor array technology is combined. It can effectively solve the cross-sensitivity problem of gas sensor arrays to achieve qualitative and quantitative detection of mixed gases and has a wide range of application prospects.
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