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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Detalles Bibliográficos
Autores principales: Guo, Xiuzhen, Peng, Chao, Zhang, Songlin, Yan, Jia, Duan, Shukai, Wang, Lidan, Jia, Pengfei, Tian, Fengchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541827/
https://www.ncbi.nlm.nih.gov/pubmed/26131672
http://dx.doi.org/10.3390/s150715198

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541827/
https://www.ncbi.nlm.nih.gov/pubmed/26131672
http://dx.doi.org/10.3390/s150715198

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