A Novel Pre-Processing Technique for Original Feature Matrix of Electronic Nose Based on Supervised Locality Preserving Projections

An electronic nose (E-nose) consisting of 14 metal oxide gas sensors and one electronic chemical gas sensor has been constructed to identify four different classes of wound infection. However, the classification results of the E-nose are not ideal if the original feature matrix containing the maximu...

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Detalles Bibliográficos
Autores principales: Jia, Pengfei, Huang, Tailai, Wang, Li, Duan, Shukai, Yan, Jia, Wang, Lidan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970069/
https://www.ncbi.nlm.nih.gov/pubmed/27376295
http://dx.doi.org/10.3390/s16071019

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970069/
https://www.ncbi.nlm.nih.gov/pubmed/27376295
http://dx.doi.org/10.3390/s16071019

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