• DocumentCode
    1804812
  • Title

    Fuzzy neural nets can solve the overfitting problem

  • Author

    Feuring, Thomas ; Buckley, James J. ; Hayashi, Yoichi

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Siegen Univ., Germany
  • Volume
    6
  • fYear
    1999
  • fDate
    36342
  • Firstpage
    4197
  • Abstract
    Given most continuous h:[a,b]→R and ε>0, we show how to obtain a neural net which will approximate h, to within ε, uniformly over [a,b]. To construct this neural net, we first train a fuzzy neural net on a finite training set, and the needed neural net is the defuzzified trained fuzzy neural net
  • Keywords
    curve fitting; fuzzy neural nets; fuzzy set theory; learning (artificial intelligence); finite training set; fuzzy neural net; fuzzy set theory; learning algorithm; overfitting problem; Computer science; Equations; Fuzzy neural networks; Fuzzy sets; Mathematics; Neural networks; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1999. IJCNN '99. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-5529-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.1999.830838
  • Filename
    830838
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1804812