Electronic Nose-Based Odor Classification using Genetic Algorithms and Fuzzy Support Vector Machines-Reference-Cited by-同舟云学术

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Electronic Nose-Based Odor Classification using Genetic Algorithms and Fuzzy Support Vector Machines

Published:2018-01-17 Issue:4 Volume:20 Page:1309-1320
ISSN:1562-2479
Container-title:International Journal of Fuzzy Systems
language:en
Short-container-title:Int. J. Fuzzy Syst.

Author:

Liu Taoping,Zhang Wentian,McLean Peter,Ueland Maiken,Forbes Shari L.,Su Steven W.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s40815-018-0449-8/fulltext.html

Reference26 articles.

1. Persaud, K., Dodd, G.: Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose. Nature 299(5881), 352–355 (1982)

2. Gardner, J.W., Bartlett, P.N.: A brief history of electronic noses. Sens. Actuators B Chem. 18(1–3), 210–211 (1994)

3. Wilson, A.D., Baietto, M.: Applications and advances in electronic-nose technologies. Sensors 9(7), 5099–5148 (2009)

4. Benedetti, S., Mannino, S., Sabatini, A.G., Marcazzan, G.L.: Electronic nose and neural network use for the classification of honey. Apidologie 35(4), 397–402 (2004)

5. Brudzewski, K., Osowski, S., Markiewicz, T.: Classification of milk by means of an electronic nose and svm neural network. Sens. Actuators B Chem. 98(2), 291–298 (2004)

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