A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach

A novel classification model, named the quantum-behaved particle swarm optimization (QPSO)-based weighted multiple kernel extreme learning machine (QWMK-ELM), is proposed in this paper. Experimental validation is carried out with two different electronic nose (e-nose) datasets. Being different from...

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Detalles Bibliográficos
Autores principales: Jian, Yulin, Huang, Daoyu, Yan, Jia, Lu, Kun, Huang, Ying, Wen, Tailai, Zeng, Tanyue, Zhong, Shijie, Xie, Qilong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492859/
https://www.ncbi.nlm.nih.gov/pubmed/28629202
http://dx.doi.org/10.3390/s17061434

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492859/
https://www.ncbi.nlm.nih.gov/pubmed/28629202
http://dx.doi.org/10.3390/s17061434

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