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Classification of EEG Signals by Radial Neuro-Fuzzy Systems

SYSNO ASEP	0405650
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve SCOPUS
Title	Classification of EEG Signals by Radial Neuro-Fuzzy Systems
Title	Klasifikace EEG signálů pomocí neuro-fuzzy systému
Author(s)	Coufal, David (UIVT-O)_{RID, SAI, ORCID}
Source Title	WSEAS Transactions on Systems - ISSN 1109-2777 Roč. 5, č. 2 (2006), s. 415-423
Number of pages	9 s.
Language	eng - English
Country	US - United States
Keywords	neuro-fuzzy systems ; radial fuzzy systems ; data mining ; hybrid systems
Subject RIV	BA - General Mathematics
R&D Projects	ME 701 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
CEZ	AV0Z10300504 - UIVT-O (2005-2011)
EID SCOPUS	29744466115
Annotation	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 a 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.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2007

Number of the records: 1