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.
CITATION STYLE
Pelki, D., Bajo, J., & Omatu, S. (2015). Intelligent classifier for E-Nose systems. In Advances in Intelligent Systems and Computing (Vol. 372, pp. 239–240). Springer Verlag. https://doi.org/10.1007/978-3-319-19629-9_31
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