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Hybrid neural systems for pattern recognition in artificial noses.

Cleber Zanchettin·Teresa B Ludermir
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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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AnimalsArtificial OrgansFuzzy LogicHumansNeural Networks, ComputerNosePattern Recognition, AutomatedPrincipal Component AnalysisSmellJournal ArticleResearch Support, Non-U.S. Gov't

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Cleber Zanchettin, Teresa B Ludermir. Hybrid neural systems for pattern recognition in artificial noses.. https://doi.org/10.1142/s0129065705000141

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