• DocumentCode
    315265
  • Title

    Decoupled-voting Hamming associative memory networks

  • Author

    Watta, Paul B. ; Akkal, Mohammed ; Hassoun, Mohamad H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    9-12 Jun 1997
  • Firstpage
    1188
  • Abstract
    A class of high performance associative memory models are developed by generalizing the operation of the Hamming associative memory. Two models are proposed: the decoupled Hamming memory and the two-level decoupled Hamming memory. By utilizing local Hamming distance computations, these models are more amenable to practical hardware implementation on parallel machines and available accelerator boards. Simulation results indicate that the proposed associative memory models offer substantial error correction capability
  • Keywords
    associative processing; content-addressable storage; image recognition; neural nets; Hamming associative memory; Hamming distance; decoupled Hamming memory; decoupled-voting; error correction; image processing; image recognition; Associative memory; Hamming distance; Hardware; Impedance matching; Input variables; Pattern matching; Pattern recognition; Stationary state; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks,1997., International Conference on
  • Conference_Location
    Houston, TX
  • Print_ISBN
    0-7803-4122-8
  • Type

    conf

  • DOI
    10.1109/ICNN.1997.616201
  • Filename
    616201