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.
Hybrid Intelligent Systems; Artificial Neural Networks; Artificial Nose
