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Detail publikace
GÜNEY, S. ATASOY, A. BURGET, R.
Originální název
Electronic Nose Odor Classification with Advanced Decision Tree Structures
Typ
článek v časopise - ostatní, Jost
Jazyk
angličtina
Originální abstrakt
Electronic nose (e-nose) is an electronic device which can measure chemical compounds in air and consequently classify different odors. In this paper, an e-nose device consisting of 8 different gas sensors was designed and constructed. Using this device, 104 different experiments involving 11 different odor classes (moth, angelica root, rose, mint, polis, lemon, rotten egg, egg, garlic, grass, and acetone) were performed. The main contribution of this paper is the finding that using the chemical domain knowledge it is possible to train an accurate odor classification system. The domain knowledge about chemical compounds is represented by a decision tree whose nodes are composed of classifiers such as Support Vector Machines and -Nearest Neighbor. The overall accuracy achieved with the proposed algorithm and the constructed e-nose device was 97.18 %. Training and testing data sets used in this paper are published online.
Klíčová slova
Electronic nose, odor classification, machine learning, data-mining.
Autoři
GÜNEY, S.; ATASOY, A.; BURGET, R.
Rok RIV
2013
Vydáno
31. 8. 2013
ISSN
1210-2512
Periodikum
Radioengineering
Ročník
2011
Číslo
1
Stát
Česká republika
Strany od
Strany do
9
Strany počet
BibTex
@article{BUT100907, author="Radim {Burget} and Ayten {Atasoy} and Selda {Güney}", title="Electronic Nose Odor Classification with Advanced Decision Tree Structures", journal="Radioengineering", year="2013", volume="2011", number="1", pages="1--9", issn="1210-2512" }