• DocumentCode
    3619875
  • Title

    Rates of convergence for adaptive regression estimates with multiple hidden layer feedforward neural networks

  • Author

    M. Kohler;A. Krzyzak

  • Author_Institution
    Fachbereich Mathematik, Stuttgart Univ.
  • fYear
    2005
  • fDate
    6/27/1905 12:00:00 AM
  • Firstpage
    1436
  • Lastpage
    1440
  • Abstract
    We present a general bound on the expected L2 error of adaptive least squares estimates. By applying it to multiple hidden layer feedforward neural network regression function estimates we are able to obtain optimal (up to log factor) rates of convergence for Lipschitz classes and fast rates of convergence for some classes of regression functions such as additive functions
  • Keywords
    "Convergence","Neural networks","Feedforward neural networks","Multi-layer neural network","Least squares approximation","Neurons","Computer science","Computer errors","Logistics"
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2005. ISIT 2005. Proceedings. International Symposium on
  • ISSN
    2157-8095
  • Print_ISBN
    0-7803-9151-9
  • Electronic_ISBN
    2157-8117
  • Type

    conf

  • DOI
    10.1109/ISIT.2005.1523580
  • Filename
    1523580
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3619875