• DocumentCode
    1905869
  • Title

    Implementation of O(n) complexity max/min circuits for fuzzy and connectionist computing

  • Author

    Hassoun, Mohamad H. ; Nabha, Ali M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    998
  • Abstract
    O(n) complexity electronic circuits are proposed for maximum (minimum) selection/propagation of n analog input voltages. The proposed min/max circuits employ electronic amplifiers and diodes and are easily realizable with CMOS VLSI technology. Theoretical analysis and experimental results with off-the-shelf components are presented. These circuits are of low complexity in the sense that the number of transistors and/or connections required scales linearly in the number of inputs, n. An analytical expression for the accuracy of the proposed circuits in terms of the number of inputs and amplifier gain is derived. It shows that high-resolution low-complexity analog max/min modules are feasible. The authors´ results hinge on the ability to map a sequential algorithm for the computation of Max (Min) functions onto a simple collective computing architecture
  • Keywords
    CMOS integrated circuits; VLSI; analogue computer circuits; analogue processing circuits; fuzzy logic; neural nets; CMOS VLSI technology; O(n) complexity max/min circuits; amplifier gain; connectionist computing; electronic amplifiers; fuzzy computing; sequential algorithm; Analog computers; CMOS technology; Circuits; Computer architecture; Computer networks; Fuzzy systems; Hardware; Neural networks; Neurons; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993., IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-0999-5
  • Type

    conf

  • DOI
    10.1109/ICNN.1993.298694
  • Filename
    298694