A New Method of Mixed Gas Identification Based on a Convolutional Neural Network for Time Series Classification

This paper proposes a new method of mixed gas identification based on a convolutional neural network for time series classification. In view of the superiority of convolutional neural networks in the field of computer vision, we applied the concept to the classification of five mixed gas time series...

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Huvudupphovsmän: Lu Han, Chongchong Yu, Kaitai Xiao, Xia Zhao
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2019-04-01
Serie:Sensors
Ämnen:
MOX gas sensors
mixed gas identification
convolutional neural networks
time series classification
analogous-image matrix data
Länkar:https://www.mdpi.com/1424-8220/19/9/1960
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