• DocumentCode
    3689655
  • Title

    An evolving neuro-fuzzy system for online fuzzy clustering

  • Author

    Yevgeniy Bodyanskiy;Oleksii Tyshchenko;Daria Kopaliani

  • Author_Institution
    Control Systems Research Laboratory, Kharkiv National University of Radio Electronics, 14 Lenin Ave, Kharkiv, 61166, Ukraine
  • fYear
    2015
  • Firstpage
    158
  • Lastpage
    161
  • Abstract
    An evolving neuro-fuzzy system and its online learning procedure are proposed in this paper. The system is based on nodes of a special type. A quality estimation process is defined by finding an optimal value of the used cluster validity index.
  • Keywords
    "Clustering algorithms","Fuzzy systems","Indexes","Neural networks","Adaptive systems","Algorithm design and analysis"
  • Publisher
    ieee
  • Conference_Titel
    Scientific and Technical Conference "Computer Sciences and Information Technologies" (CSIT), 2015 Xth International
  • Type

    conf

  • DOI
    10.1109/STC-CSIT.2015.7325456
  • Filename
    7325456
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3689655