DocumentCode :
3689656
Title :
Using the characteristics of chaotic dynamics in the knowledge base of decision support system
Author :
Gennadii Saprykin;Juliia Kobytska;Ludmila Kirichenko
Author_Institution :
Kharkiv Nat. Univ. of Radioelectron., Kharkiv, Ukraine
fYear :
2015
Firstpage :
162
Lastpage :
165
Abstract :
Comparative recurrent, entropy and wavelet analysis of the chaotic systems were carried out. It showed significant differences for different degree chaotic system. Dependences of the quantitative information characteristics on the parameters of chaotic processes were obtained. Recordings of laboratory animals electroencephalograms, which are divided into waking and sleep phases, were researched.
Keywords :
"Entropy","Sleep","Time series analysis","Decision support systems","Complexity theory","Electroencephalography"
Publisher :
ieee
Conference_Titel :
Scientific and Technical Conference "Computer Sciences and Information Technologies" (CSIT), 2015 Xth International
Type :
conf
DOI :
10.1109/STC-CSIT.2015.7325457
Filename :
7325457
Link To Document :
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