• DocumentCode
    2447253
  • Title

    Some necessary conditions for single-input single-output fuzzy systems as universal approximators

  • Author

    Ying, Hao ; Chen, Guanrong

  • Author_Institution
    Dept. of Physiol. and Biophys., Texas Univ. Med. Branch, Galveston, TX, USA
  • fYear
    1994
  • fDate
    18-21 Dec 1994
  • Firstpage
    264
  • Lastpage
    265
  • Abstract
    In this paper, we investigate necessary conditions for some typical single-input single-output fuzzy systems as universal approximators for continuous functions defined on compact domains with arbitrarily small uniform approximation error bounds. The necessary conditions we found provide a basis for insightful analysis of strength as well as limitation of the fuzzy systems. The main strength is that only a small number of fuzzy rules may be needed to uniformly approximate continuous functions that have a complicated formulation but a relatively small number of extrema. The limitation is that in order to approximate frequently oscillatory continuous functions, the number of fuzzy rules must be large
  • Keywords
    fuzzy control; fuzzy systems; inference mechanisms; compact domains; continuous functions; error bounds; frequently oscillatory continuous functions; fuzzy rules; necessary conditions; single-input single-output fuzzy systems; universal approximators; Approximation error; Approximation methods; Biomedical engineering; Biophysics; Fuzzy sets; Fuzzy systems; Input variables; Mechanical factors; Physiology; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-2125-1
  • Type

    conf

  • DOI
    10.1109/IJCF.1994.375124
  • Filename
    375124