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Hybrid neural systems for pattern recognition in artificial noses
Cleber Zanchettin1, Teresa B Ludermir
1CIn - Federal University of Pernambuco, Cidade Universitaria, Recife - PE, P. O. Box 7851, 50.732-970, Brazil. cz@cin.ufpe.br
Abstract:
This work examines the use of Hybrid Intelligent Systems in the pattern recognition system of an artificial nose. The connectionist approaches Multi-Layer Perceptron and Time Delay Neural Networks, and the hybrid approaches Feature-Weighted Detector and Evolving Neural Fuzzy Networks were investigated. A Wavelet Filter is evaluated as a preprocessing method for odor signals. The signals generated by an artificial nose were composed by an array of conducting polymer sensors and exposed to two different odor databases.
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