A Drift-Compensating Novel Deep Belief Classification Network to Improve Gas Recognition of Electronic Noses
IEEE ACCESS, pp. 121385-121397, 2020.
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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