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Este trabalho investiga a utilização de Sistemas Híbridos Inteligentes no sistema de reconhecimento de padrões de um nariz artificial. São abordadas as arquiteturas conexionistas Multi-Layer Perceptron e Time Delay Neural Network; e as arquiteturas híbridas Feature-weighted Detector e Evolving Fuzzy Neural Networks. Além dos classificadores, um filtro Wavelet é avaliado como método de pré-processamento para os sinais de odores. Foram analisados sinais gerados por um nariz artificial, composto por um conjunto de sensores de polímeros condutores, exposto a duas bases de odores distintas. This work investigates 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 as preprocessing method of odors signals is evaluated. The signals generated by an artificial nose, composed by an array of conducting polymer sensors, exposed to two different odor databases

Sistemas neurais híbridos para reconhecimento de padrões em narizes artificiais