• DocumentCode
    3125708
  • Title

    Polytopic and TS models are nowhere dense in the approximation model space

  • Author

    Tikk, Domonkos ; Baranyi, Peter ; Patton, Ron J.

  • Author_Institution
    Dept. of Telecommun. & Telematics, Budapest Univ. of Technol. & Econ., Hungary
  • Volume
    7
  • fYear
    2002
  • fDate
    6-9 Oct. 2002
  • Abstract
    We show in this paper that the set of functions, consisting of polytopic or TS models constructed from finite number of components, is nowhere dense in the approximation model space, if that is defined as a subset of continuous functions. This topological notion means that the given set of functions lies "almost discretely" in the space of approximated functions. As a consequence, by means of the mentioned models we cannot approximate in general continuous functions arbitrarily well, if the number of components are restricted. Thus, only functions satisfying certain conditions can be approximated by such models, or alternatively, we need unbounded number of components. The possible solutions are outlined in the paper.
  • Keywords
    function approximation; neural nets; TS models; Web; approximation model space; continuous bivariate functions; continuous functions; function approximation; fuzzy reasoning; intelligent personalized service algoriffirn; polytopic models; universal approximation; Control systems; Intelligent control; Intelligent systems; Laboratories; Multi-layer neural network; Neural networks; Plasma welding; Space technology; Telecommunication control; Telematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2002 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7437-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.2002.1175684
  • Filename
    1175684