@inproceedings{690a697c678a4dfa946d27e2fcb3cf37,
title = "Portable electronic nose system for identification of synthesized gasoline using metal oxide gas sensor and pattern recognition",
abstract = "This paper describes a portable electronic nose (e-nose) system for use in the identification of synthesized gasoline, comprised of a single semiconductor type of gas sensor and pattern recognition neural networks. The designed e-nose system consists of a one-chip microcontroller, a pre-concentrator, and a gas sensor. Two different neural networks, a multilayer perceptron (MLP) neural network and a fuzzy ARTMAP neural network were applied to discriminate synthesized gasoline from normal gasoline. The results of the classification showed 100\% and 85\% recognition rates for the training data set and testing data set, respectively.",
keywords = "fuzzy ARTMAP NN, MLP NN, Portable electronic nose, Synthesized gasoline",
author = "Kim, \{Young Wung\} and Park, \{Hong Bae\} and Lee, \{In Soo\} and Cho, \{Jung Hwan\}",
year = "2011",
doi = "10.1063/1.3626326",
language = "English",
isbn = "9780735409200",
series = "AIP Conference Proceedings",
pages = "113--114",
booktitle = "Olfaction and Electronic Nose",
note = "14th International Symposium on Olfaction and Electronic Nose, ISOEN 2011 ; Conference date: 02-05-2011 Through 05-05-2011",
}