Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing

2005 ◽  
Author(s):  
Patricia Melin ◽  
Oscar Castillo
Keyword(s):  
Pattern Recognition ◽  
Soft Computing ◽  
Intelligent Systems ◽  
Hybrid Intelligent Systems

HYBRID NEURAL SYSTEMS FOR PATTERN RECOGNITION IN ARTIFICIAL NOSES

2005 ◽  
Vol 15 (01n02) ◽  
pp. 137-149 ◽  
Author(s):  
CLEBER ZANCHETTIN ◽  
TERESA B. LUDERMIR
Keyword(s):  
Pattern Recognition ◽  
Intelligent Systems ◽  
Recognition System ◽  
Neural Systems ◽  
Wavelet Filter ◽  
Hybrid Intelligent Systems ◽  
Artificial Nose ◽  
Hybrid Approaches ◽  
Polymer Sensors ◽  
Odor Signals

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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