A Drift-Compensating Novel Deep Belief Classification Network to Improve Gas Recognition of Electronic Noses

Yutong Tian
Yutong Tian
Yiyun Zhang
Yiyun Zhang
Tian Hang Yu
Tian Hang Yu
Peiyuan Wang
Peiyuan Wang
Debo Shi
Debo Shi

IEEE ACCESS, pp. 121385-121397, 2020.

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Abstract:

Electronic nose (E-nose) systems have a good effect on the identification of distinct odours. However, the properties of chemical gas sensors indicate that ageing, poisoning, fluctuation of environmental conditions (moisture, temperature, etc.) and a lack of fabrication repeatability, etc. have a large impact on the sensitivity and accura...More

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