• DocumentCode
    562428
  • Title

    The method of identifying weights of artificial neural networks with radial basis functions based on multiple-set approach

  • Author

    Savka, Nadya ; Nemish, Vasyl ; Kushnir, Oksana

  • Author_Institution
    Ternopil´´ Nat. Econ. Univ., Ternopil, Ukraine
  • fYear
    2012
  • fDate
    21-24 Feb. 2012
  • Firstpage
    392
  • Lastpage
    392
  • Abstract
    The analysis methods of identification of artificial neural networks (ANN) with radial basis functions. Characterizes the main drawback of the method of identification based on quadratic criteria. The method of identifying weights ANN with RBF based on set-theoretic approach.
  • Keywords
    radial basis function networks; set theory; ANN; RBF; artificial neural networks; multiple set approach; quadratic criteria; radial basis functions; set theoretic approach; weight identification; Artificial neural networks; Complexity theory; Artificial neural networks; Method of identification; Multiple-set approach; Radial basis functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modern Problems of Radio Engineering Telecommunications and Computer Science (TCSET), 2012 International Conference on
  • Conference_Location
    Lviv-Slavske
  • Print_ISBN
    978-1-4673-0283-8
  • Type

    conf

  • Filename
    6192648
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=562428