• DocumentCode
    542516
  • Title

    Identification of artificial neural networks with radial basis functions by methods of interval data analysis

  • Author

    Savka, Nadya ; Dyvak, Mykola

  • Author_Institution
    Ternopil´´ Nat. Economic Univ., Ternopil, Ukraine
  • fYear
    2011
  • fDate
    23-25 Feb. 2011
  • Firstpage
    304
  • Lastpage
    304
  • Abstract
    The basic characteristics of artificial neural networks (ANN) with radial basis functions (RBF) was researched. The main problems related with adjusting the parameters of the ANN with RBF was considered.
  • Keywords
    data analysis; radial basis function networks; artificial neural network identification; interval data analysis method; radial basis functions; Adaptation model; Artificial neural networks; Data analysis; Neurons; Nonlinear dynamical systems; Artificial Neural Network; Identification; Interval Analysis; Radial Basis Functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    CAD Systems in Microelectronics (CADSM), 2011 11th International Conference The Experience of Designing and Application of
  • Conference_Location
    Polyana-Svalyava
  • Print_ISBN
    978-1-4577-0042-2
  • Type

    conf

  • Filename
    5744475
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=542516