Redundant Rules Detection in EEG Fuzzy Classifier

Number of the records: 1

1.

SYSNO ASEP	0331140
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Redundant Rules Detection in EEG Fuzzy Classifier
Title	Detekce nadbytečných pravidel v EEG fuzzy klasifikátoru
Author(s)	Coufal, David (UIVT-O)_{RID, SAI, ORCID}
Source Title	Intelligent Engineering Systems. - Los Alamitos : IEEE, 2009 - ISBN 978-1-4244-4111-2
Pages	s. 177-181
Number of pages	5 s.
Action	INES 2009. International Conference on Intelligent Engineering Systems /13./
Event date	16.04.2009-18.04.2009
VEvent location	Barbados
Country	BB - Barbados
Event type	WRD
Language	eng - English
Country	US - United States
Keywords	EEG spectrograms ; microsleeps detection ; implicative fuzzy system ; redundancy
Subject RIV	IN - Informatics, Computer Science
R&D Projects	ME 949 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
	1F84B/042/520 GA MDS - Ministry of Transport (MD)
CEZ	AV0Z10300504 - UIVT-O (2005-2011)
UT WOS	000270809000029
EID SCOPUS	70350369967
DOI	10.1109/INES.2009.4924758
Annotation	In the paper we present the application of the redundancy detection algorithm for the purpose of simplification of rule base of a radial implicative fuzzy classifier. The classifier is built up to detect different levels of vigilance of car drivers. The classification is based on the analysis of EEG spectrograms.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2010

Number of the records: 1