Cargando…
A Novel Semi-Supervised Method of Electronic Nose for Indoor Pollution Detection Trained by M-S4VMs
Electronic nose (E-nose), as a device intended to detect odors or flavors, has been widely used in many fields. Many labeled samples are needed to gain an ideal E-nose classification model. However, the labeled samples are not easy to obtain and there are some cases where the gas samples in the real...
Autores principales: | Huang, Tailai, Jia, Pengfei, He, Peilin, Duan, Shukai, Yan, Jia, Wang, Lidan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038740/ https://www.ncbi.nlm.nih.gov/pubmed/27626420 http://dx.doi.org/10.3390/s16091462 |
Ejemplares similares
-
A Novel Semi-Supervised Electronic Nose Learning Technique: M-Training
por: Jia, Pengfei, et al.
Publicado: (2016) -
A Novel Pre-Processing Technique for Original Feature Matrix of Electronic Nose Based on Supervised Locality Preserving Projections
por: Jia, Pengfei, et al.
Publicado: (2016) -
A Novel Optimization Technique to Improve Gas Recognition by Electronic Noses Based on the Enhanced Krill Herd Algorithm
por: Wang, Li, et al.
Publicado: (2016) -
Electronic Nose Feature Extraction Methods: A Review
por: Yan, Jia, et al.
Publicado: (2015) -
Enhancing Electronic Nose Performance Based on a Novel QPSO-KELM Model
por: Peng, Chao, et al.
Publicado: (2016)