• DocumentCode
    1619136
  • Title

    A dynamic thresholding approach to improve higher order associative memory capability

  • Author

    Huang, Yo-Ping ; Gustafson, Donald

  • Author_Institution
    Dept. of Electr. Eng., Texas Tech Univ., Lubbock, TX, USA
  • fYear
    1992
  • Firstpage
    681
  • Abstract
    A dynamic thresholding method is presented to improve higher order sparsely encoded associative memory (SEAM) performance. Under such a scheme, the SEAM model is shown to have greater storage capacity than the ordinary associative memory. The results are also considered from the information point of view. Simulation results are consistent with the theoretical analysis
  • Keywords
    content-addressable storage; neural nets; SEAM model; dynamic thresholding; higher order; sparsely encoded associative memory; storage capacity; Approximation methods; Associative memory; Computational modeling; H infinity control; Interference; Neurons; Probes; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1992., Proceedings of the 35th Midwest Symposium on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-0510-8
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1992.271231
  • Filename
    271231
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1619136