• DocumentCode
    329107
  • Title

    High performance with low implementation cost sigmoid generators

  • Author

    Vassiliadis, Stamatis ; Delgado-Frias, José ; Zhang, Ming

  • Volume
    2
  • fYear
    1993
  • fDate
    25-29 Oct. 1993
  • Firstpage
    1931
  • Abstract
    In this paper, a piecewise second order approximation method to compute the sigmoid function is proposed and evaluated. The scheme provides high performance and it is inexpensive to implement in terms of hardware. It requires one multiplication and two additions for the sigmoid computation. It provides better precision with an average error of 5.3*10-3 which is less than other existing second/third order approaches having the average errors of 6.4*10-2 and 7.8*10-2 respectively. Finally the proposed scheme can provide a 1.15-1.67 speedup over existing schemes.
  • Keywords
    approximation theory; functional analysis; neural nets; additions; multiplication; neural nets; piecewise second order approximation; sigmoid function; sigmoid generators; Approximation methods; Artificial neural networks; Costs; Delay; Equations; Iterative methods; Least squares approximation; Neural network hardware; Polynomials; Power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
  • Print_ISBN
    0-7803-1421-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.1993.717033
  • Filename
    717033