A Novel Feature Extraction Approach Using Window Function Capturing and QPSO-SVM for Enhancing Electronic Nose Performance

A Novel Feature Extraction Approach Using Window Function Capturing and QPSO-SVM for Enhancing Electronic Nose Performance

In this paper, a novel feature extraction approach which can be referred to as moving window function capturing (MWFC) has been proposed to analyze signals of an electronic nose (E-nose) used for detecting types of infectious pathogens in rat wounds. Meanwhile, a quantum-behaved particle swarm optim...

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Bibliographic Details
Main Authors: Xiuzhen Guo, Chao Peng, Songlin Zhang, Jia Yan, Shukai Duan, Lidan Wang, Pengfei Jia, Fengchun Tian
Format: Article
Language:English
Published: MDPI AG 2015-06-01
Series:Sensors
Subjects:
feature extraction
electronic nose
MWFC
QPSO
SVM
Online Access:http://www.mdpi.com/1424-8220/15/7/15198

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