Pseudo Optimization of E-Nose Data Using Region Selection with Feature Feedback Based on Regularized Linear Discriminant Analysis

In this paper, we present a pseudo optimization method for electronic nose (e-nose) data using region selection with feature feedback based on regularized linear discriminant analysis (R-LDA) to enhance the performance and cost functions of an e-nose system. To implement cost- and performance-effect...

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Detalles Bibliográficos
Autores principales: Jeong, Gu-Min, Nghia, Nguyen Trong, Choi, Sang-Il
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327041/
https://www.ncbi.nlm.nih.gov/pubmed/25559000
http://dx.doi.org/10.3390/s150100656

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327041/
https://www.ncbi.nlm.nih.gov/pubmed/25559000
http://dx.doi.org/10.3390/s150100656

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