A high precise E-nose for daily indoor air quality monitoring in living environment
J He, L Xu, P Wang, Q Wang - Integration, 2017 - Elsevier
E-nose, whose major components include a sensor array and a pattern recognition
algorithm, is considered to be a potential way to balance the trade-off between cost and
accuracy for daily indoor air quality monitoring in living environment. In this paper, we
presented a high precise E-nose for such application. QS-01 from FIS, TGS2600 and
TGS2602 from FIGARO, temperature and humidity sensor SHT10 are selected to compose
the sensor array. Back Propagation (BP) nueral network, the typical machine learning …
algorithm, is considered to be a potential way to balance the trade-off between cost and
accuracy for daily indoor air quality monitoring in living environment. In this paper, we
presented a high precise E-nose for such application. QS-01 from FIS, TGS2600 and
TGS2602 from FIGARO, temperature and humidity sensor SHT10 are selected to compose
the sensor array. Back Propagation (BP) nueral network, the typical machine learning …
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