Título: Intelligent Classifier for E-Nose Systems.
Autores:
Pelki, Dechen; Bajo Pérez, Javier; Omatu, Sigeru
Libro:
Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability. Advances in Intelligent Systems and Computing. Volumen 372, pp. 239-240.
title = {Intelligent Classifier for E-Nose Systems}, author = {Pelki, Dechen; Bajo Pérez, Javier; Omatu, Sigeru}, chapter = {Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability}, publisher = {Springer Science + Business Media}, volume = {372}, pages = {239-240}, isbn = {978-3-319-19628-2 (Print), 978-3-319-19629-9 (Online)}, year = {2015}
<author>Pelki</author> <author>Dechen; Bajo Pérez</author> <author>Javier; Omatu</author> <author>Sigeru</author> <title>Intelligent Classifier for E-Nose Systems</title> <pages>239-240</pages> <year>2015</year> <booktitle>Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability</booktitle> <ee>10.1007/978-3-319-19629-9_31</ee> <url>http://dx.doi.org/10.1007/978-3-319-19629-9_31</url>
</inproceedings>
This paper briefly discusses the state-of-the-art of e-noses and classifiers used in analyzing the response data from E-Nose systems and presents an idea about how to face off this kind of problems using ensembles of classifiers.