DocumentCode
3389578
Title
Redundant rules detection in EEG fuzzy classifier
Author
Coufal, David
Author_Institution
Institute of Computer Science AS CR, Pod Vodárenskou vê¿Ã\xad 2, 182 07 Prague 8, Czech Republic
fYear
2009
fDate
16-18 April 2009
Firstpage
177
Lastpage
181
Abstract
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.
Keywords
Application software; Chromium; Computer science; Detection algorithms; Electroencephalography; Electronic mail; Fuzzy sets; Fuzzy systems; Monitoring; Spectrogram; EEG spectrograms; implicative fuzzy system; microsleeps detection; redundancy;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Engineering Systems, 2009. INES 2009. International Conference on
Conference_Location
Barbados
Print_ISBN
978-1-4244-4111-2
Electronic_ISBN
978-1-4244-4113-6
Type
conf
DOI
10.1109/INES.2009.4924758
Filename
4924758
Link To Document