• DocumentCode
    1242247
  • Title

    Improving the performance of Kanerva´s associate memory

  • Author

    Ryan, Shaun W. ; Andreae, John H.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Canterbury Univ., Christchurch, New Zealand
  • Volume
    6
  • Issue
    1
  • fYear
    1995
  • fDate
    1/1/1995 12:00:00 AM
  • Firstpage
    125
  • Lastpage
    130
  • Abstract
    A parallel associative memory first proposed by Kanerva (1988) is discussed. The major appeal of this memory is its ability to be trained very rapidly. A discrepancy between Kanerva´s theoretical calculation of capacity and the actual capacity is demonstrated experimentally and a corrected theory is offered. A modified method of reading from memory is suggested which results in a capacity nearly the same as that originally predicted by Kanerva. The capacity of the memory is then analyzed for a different method of writing to memory. This method increases the capacity of the memory by an order of magnitude. A further modification is suggested which increases the learning rate of this method
  • Keywords
    content-addressable storage; memory architecture; associate memory; memory capacity calculation; parallel associative memory; sparse distributed memory; Associative memory; Error analysis; Hamming distance; Testing; Writing;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/72.363443
  • Filename
    363443