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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Bibliographic Details
Main Authors: Lu Han, Chongchong Yu, Kaitai Xiao, Xia Zhao
Format: Artigo
Language:Inglês
Published: MDPI AG 2019-04-01
Series:Sensors
Subjects:
MOX gas sensors
mixed gas identification
convolutional neural networks
time series classification
analogous-image matrix data
Online Access:https://www.mdpi.com/1424-8220/19/9/1960
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