• DocumentCode
    3252020
  • Title

    Extrapolation limitations of multilayer feedforward neural networks

  • Author

    Haley, Pamela J. ; Soloway, Donald

  • Author_Institution
    NASA Langley Res. Center, Hampton, VA, USA
  • Volume
    4
  • fYear
    1992
  • fDate
    7-11 Jun 1992
  • Firstpage
    25
  • Abstract
    The limitations of backpropagation used as a function extrapolator were investigated. Four common functions were used to investigate the network´s extrapolation capability. The purpose of the experiment was to determine whether neural networks are capable of extrapolation and, if so, to determine the range for which networks can extrapolate. The authors show that neural networks cannot extrapolate and offer an explanation to support this result
  • Keywords
    backpropagation; extrapolation; feedforward neural nets; backpropagation; extrapolation; function extrapolator; multilayer feedforward neural networks; neural networks; Backpropagation; Extrapolation; Feedforward neural networks; Joining processes; Multi-layer neural network; NASA; Neural networks; Protection; Stock markets; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1992. IJCNN., International Joint Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    0-7803-0559-0
  • Type

    conf

  • DOI
    10.1109/IJCNN.1992.227294
  • Filename
    227294
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3252020