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Pattern recognition methods for SAW sensor array based electronic nose

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2 Author(s)
S. K. Jha ; Department of Physics, Faculty of Science, Banaras Hindu University, Varanasi, India ; R. D. S. Yadava

The paper presents an analysis of several preprocessing, feature extraction and classification methods in combination for yielding optimum performance for SAW sensors array based electronic nose systems. It is found that the combination of logarithmic data preprocessing, linear discriminant analysis based feature extraction and support vector machine based classification yields optimum results.

Published in:

Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on

Date of Conference:

28-29 Dec. 2010