A KECA identification method based on GA for E-nose data of six kinds of Chinese spirits
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Title
A KECA identification method based on GA for E-nose data of six kinds of Chinese spirits
Authors
Keywords
Spirit, Electronic nose, Kernel entropy component analysis, Kernel parameters, Genetic algorithm, Similarity measurement
Journal
SENSORS AND ACTUATORS B-CHEMICAL
Volume -, Issue -, Pages 129518
Publisher
Elsevier BV
Online
2021-01-24
DOI
10.1016/j.snb.2021.129518
References
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