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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Detalles Bibliográficos
Autores principales: Peng, Chao, Yan, Jia, Duan, Shukai, Wang, Lidan, Jia, Pengfei, Zhang, Songlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851034/
https://www.ncbi.nlm.nih.gov/pubmed/27077860
http://dx.doi.org/10.3390/s16040520

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851034/
https://www.ncbi.nlm.nih.gov/pubmed/27077860
http://dx.doi.org/10.3390/s16040520

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