TY  - GEN 
AU  - Pelki, Dechen
AU  - Bajo Pérez, Javier
AU  - Omatu, Sigeru
PY  - 2015
SN  - 978-3-319-19628-2(Print) / 978-3-319-19629-9(Online)
SN  - 2194-5357(Print) / 2194-5365(Online)
UR  - http://dx.doi.org/10.1007/978-3-319-19629-9_31
UR  - http://hdl.handle.net/10366/134981
AB  - 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.
LA  - en
PB  - Springer Science + Business Media
KW  - Computer Science
TI  - Intelligent Classifier for E-Nose Systems
ER  -