• DocumentCode
    2755291
  • Title

    Synthesis of three-layer perceptrons for parity functions

  • Author

    Kim, Jung H. ; Park, Sung-kwon

  • Author_Institution
    Center for Adv. Comput. Studies, Univ. of Southwestern Louisiana, Lafayette, LA, USA
  • fYear
    1991
  • fDate
    8-14 Jul 1991
  • Abstract
    Summary form only given, as follows. The synthesis of a three-layer perceptron has been proposed for a parity function. Since a parity function is not a linearly separable function, more than one processing element (PE) is required to realize a parity function. It turns out that the required number of PEs in the hidden layer of a three-layer perceptron is equal to n for an n-bit parity function. Since the weights of a PE in the proposed perceptron are set to either 1 or -1, the PE does not require multipliers. This will greatly facilitate actual hardware implementation of the proposed perceptrons using digital VLSI technology
  • Keywords
    neural nets; hidden layer; neural nets; parity functions; processing element; three-layer perceptrons; Computational modeling; Concurrent computing; Distributed computing; Equations; Hardware; History; Hysteresis; Laboratories; Multilayer perceptrons; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-0164-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.155658
  • Filename
    155658