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HYBRID NEURAL SYSTEMS FOR PATTERN RECOGNITION IN ARTIFICIAL NOSES

CLEBER ZANCHETTIN

CIn — Federal University of Pernambuco, Cidade Universitaria, Recife — PE, P. O. Box 7851, 50.732-970, Brazil

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and

TERESA B. LUDERMIR

CIn — Federal University of Pernambuco, Cidade Universitaria, Recife — PE, P. O. Box 7851, 50.732-970, Brazil

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https://doi.org/10.1142/S0129065705000141Cited by:13 (Source: Crossref)

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.

Keywords:

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