Intelligent Classifier for E-Nose Systems

Título

dc.contributor.author	Pelki, Dechen
dc.contributor.author	Bajo Pérez, Javier
dc.contributor.author	Omatu, Sigeru
dc.date.accessioned	2017-09-06T09:15:25Z
dc.date.available	2017-09-06T09:15:25Z
dc.date.issued	2015-06
dc.identifier.citation	Trends in Practical Applications of Agents, MAS, and Sustainability, the PAAMS collection.. Advances in Intelligent Systems and Computing. pp. 239-240.
dc.identifier.isbn	978-3-319-19628-2(Print) / 978-3-319-19629-9(Online)
dc.identifier.issn	2194-5357(Print) / 2194-5365(Online)
dc.identifier.uri	http://dx.doi.org/10.1007/978-3-319-19629-9_31
dc.identifier.uri	http://hdl.handle.net/10366/134981
dc.description.abstract	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.
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.publisher	Springer Science + Business Media
dc.subject	Computer Science
dc.title	Intelligent Classifier for E-Nose Systems
dc.type	info:eu-repo/semantics/conferenceObject
dc.rights.accessRights	info:eu-repo/semantics/openAccess