• 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