• DocumentCode
    2387698
  • Title

    Some properties on a class of neuro-fuzzy learning algorithms

  • Author

    Yan Shi ; Mizumoto, M.

  • fYear
    2004
  • fDate
    26-31 Aug. 2004
  • Firstpage
    319
  • Lastpage
    322
  • Abstract
    In this paper, we try to analyze two kind; of conventional neuro-fuzzy learning algorithms, which are widely used in recent fuzzy applications for tuning fuzzy rules, and give a summarization of their properties. Some of these properties show that uses of the conventional neuro-fuzzy learning algorithms are sometimes dillicult or inconvenient for constructing an optimal fuzzy system model in practical fuzzy applications.
  • Keywords
    Algorithm design and analysis; Fuzzy reasoning; Fuzzy systems; Gaussian processes; Humans; Inference algorithms; Neural networks; Space technology; Training data; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Mechatronics and Automation, 2004. Proceedings. 2004 International Conference on
  • Conference_Location
    Chengdu, China
  • Print_ISBN
    0-7803-8748-1
  • Type

    conf

  • DOI
    10.1109/ICIMA.2004.1384212
  • Filename
    1384212
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2387698