• DocumentCode
    288615
  • Title

    Recurrent neural networks and Fibonacci numeration system of order s(s⩾2)

  • Author

    Yacoub, Meziane

  • Author_Institution
    Univ. de Paris-Nord, Villetaneuse, France
  • Volume
    3
  • fYear
    1994
  • fDate
    27 Jun-2 Jul 1994
  • Firstpage
    1503
  • Abstract
    In the Fibonacci numeration system of order s(s⩾2), every positive integer admits a unique representation which does not contain s consecutive digits equal to 1 (called normal form). We show how this normal form can be obtained from any representation by recurrent neural networks. The addition of two integers in this system and the conversion from a Fibonacci representation to a standard binary representation (and conversely) can also be realized using recurrent neural networks
  • Keywords
    number theory; recurrent neural nets; Fibonacci numeration system; recurrent neural networks; Automata; Computational modeling; Computer networks; Computer science; Decoding; Encoding; Power system modeling; Recurrent neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1901-X
  • Type

    conf

  • DOI
    10.1109/ICNN.1994.374510
  • Filename
    374510