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Evolving fuzzy neural networks applied to odor recognition in an artificial nose

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2 Author(s)
Zanchettin, C. ; Center of Informatics, Fed. Univ. of Pernambuco, Recife, Brazil ; Ludermir, T.B.

A pattern recognition system using evolving fuzzy neural networks for an artificial nose is presented. The artificial nose is composed of an adaptive and on-line learning method. For the classification of gases derived from the petroliferous industry, the method presented achieves better results (mean classification error of 0.88%) than those obtained by time delay neural networks (10.54%).

Published in:

Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on  (Volume:1 )

Date of Conference:

25-29 July 2004