1. HYBRID NEURAL SYSTEMS FOR PATTERN RECOGNITION IN ARTIFICIAL NOSES.
- Author
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Zanchettin, Cleber and Ludermir, Teresa B.
- Subjects
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NOSE , *ARTIFICIAL organs , *ARTIFICIAL neural networks , *PATTERN perception , *ARTIFICIAL intelligence , *NEURAL circuitry , *SENSE organs , *PROSTHETICS - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2005
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