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Enhancing Electronic Nose Performance Based on a Novel QPSO-KELM Model

A novel multi-class classification method for bacteria detection termed quantum-behaved particle swarm optimization-based kernel extreme learning machine (QPSO-KELM) based on an electronic nose (E-nose) technology is proposed in this paper. Time and frequency domain features are extracted from E-nos...

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Principais autores: Chao Peng, Jia Yan, Shukai Duan, Lidan Wang, Pengfei Jia, Songlin Zhang
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2016-04-01
Serier:Sensors
Fag:
electronic nose
feature extraction
kernel extreme learning machine
quantum-behaved particle swarm optimization
Online adgang:http://www.mdpi.com/1424-8220/16/4/520
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