• DocumentCode
    2259545
  • Title

    Should activation functions be affinely recursive?

  • Author

    Vogt, Andrew

  • Author_Institution
    Dept. of Math., Georgetown Univ., Washington, DC, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    289
  • Abstract
    Some activation functions can be represented as linear combinations of affine transformations of themselves. This phenomenon, investigated by Kurkova and Kainen (1996), is reviewed here, and some examples are considered
  • Keywords
    multilayer perceptrons; recursive functions; transfer functions; affine transformations; affinely recursive activation functions; one-hidden-layer neural net; Equations; Mathematics; Neural networks; Neurons; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
  • Conference_Location
    Como
  • ISSN
    1098-7576
  • Print_ISBN
    0-7695-0619-4
  • Type

    conf

  • DOI
    10.1109/IJCNN.2000.857850
  • Filename
    857850
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2259545