Classification of EEG signals by radial neuro-fuzzy system

Authors:
David Coufal
Affiliations:
Institute of Computer Science, AS CR, Prague 8, Czech Republic
Venue:
CIMMACS'05 Proceedings of the 4th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Year:
2005

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Abstract

We present a hybrid system for classification of EEG signals into the three classes of mentation, relaxation and micro-sleep. The classifier is based on an neural representation of a radial conjunctive fuzzy system. Conjunctive fuzzy systems are the fuzzy systems which employ fuzzy conjunctions for representation of IF-THEN structure of their rules. Radial fuzzy systems have, in addition, IF parts represented by radial functions which helps to simplify their computation model. GUHA data mining method and genetic algorithms are used for learning the classifier.