• DocumentCode
    2616576
  • Title

    Intrinsic Error Sources of Neural Networks

  • Author

    Fatemi, Mehdi ; Roopaei, Mehdi ; Roopaei, Hadi

  • Author_Institution
    Dept. of Electr. Eng., Shiraz Univ.
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The nature of radial basis function (RBF) networks necessitates some types of errors which can never be removed by traditional training algorithms. This paper is an attempt to introduce the natural error sources of neural networks such as bias error, iteration-restricted error, and Gibbs´ error. Moreover, a new method is introduced, called post-training, to reduce these errors as far as desired
  • Keywords
    learning (artificial intelligence); radial basis function networks; error reduction; neural networks; post-training; radial basis function networks; Electronic mail; Image analysis; Interpolation; Mathematics; Multi-layer neural network; Neural networks; Pattern analysis; Radial basis function networks; Speech analysis; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering of Intelligent Systems, 2006 IEEE International Conference on
  • Conference_Location
    Islamabad
  • Print_ISBN
    1-4244-0456-8
  • Type

    conf

  • DOI
    10.1109/ICEIS.2006.1703151
  • Filename
    1703151
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2616576