• DocumentCode
    3186552
  • Title

    Image processing using self-learning fuzzy spiking neural network in the presence of overlapping classes

  • Author

    Bodyanskiy, Ye ; Dolotov, A.

  • Author_Institution
    Control Syst. Res. Lab., Kharkiv Nat. Univ. of Radio Electron., Kharkov
  • fYear
    2008
  • fDate
    6-8 Oct. 2008
  • Firstpage
    213
  • Lastpage
    216
  • Abstract
    Architecture of self-learning fuzzy spiking neural network that belongs to a new type of hybrid intelligence systems is proposed. Both crisp and fuzzy clustering modes are described. Results of image processing in the presence of overlapping classes are presented.
  • Keywords
    fuzzy set theory; image processing; neural nets; crisp clustering mode; fuzzy clustering; hybrid intelligence systems; image processing; overlapping classes; self-learning fuzzy spiking neural network; Artificial neural networks; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Hybrid intelligent systems; Image coding; Image processing; Intelligent networks; Neural networks; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics Conference, 2008. BEC 2008. 11th International Biennial Baltic
  • Conference_Location
    Tallinn
  • ISSN
    1736-3705
  • Print_ISBN
    978-1-4244-2059-9
  • Electronic_ISBN
    1736-3705
  • Type

    conf

  • DOI
    10.1109/BEC.2008.4657517
  • Filename
    4657517
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3186552