Pattern Classification Using an Olfactory Model with PCA Feature Selection in Electronic Noses: Study and Application

Biologically-inspired models and algorithms are considered as promising sensor array signal processing methods for electronic noses. Feature selection is one of the most important issues for developing robust pattern recognition models in machine learning. This paper describes an investigation into...

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Detalles Bibliográficos
Autores principales: Fu, Jun, Huang, Canqin, Xing, Jianguo, Zheng, Junbao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3376605/
https://www.ncbi.nlm.nih.gov/pubmed/22736979
http://dx.doi.org/10.3390/s120302818

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3376605/
https://www.ncbi.nlm.nih.gov/pubmed/22736979
http://dx.doi.org/10.3390/s120302818

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