• DocumentCode
    1944201
  • Title

    The Improved Correlation Matrix Memory (CMML)

  • Author

    Shah, Nimish ; O´Keefe, Simon ; Austin, Jim

  • Author_Institution
    York Univ., York
  • fYear
    2007
  • fDate
    12-17 Aug. 2007
  • Firstpage
    1168
  • Lastpage
    1173
  • Abstract
    Twenty years ago a paper detailing a novel neural network, called ADAM and that could be directly implemented in hardware RAM, was published in the first conference of this series. Subsequent research based directly/indirectly on this type of RAM-based neural network founded a research group that has produced over 200 research documents. This paper overviews that research and goes on to mathematically define a CMML, a generalised version of a CMM (the component at the heart of ADAM). The CMML can be trained to replicate the exact computational properties of a CMM and so is a plug-and-play replacement to a CMM; whilst a different training algorithm gives it different properties when used in recall.
  • Keywords
    neural net architecture; random-access storage; RAM-based neural network; correlation matrix memory; plug-and-play replacement; Computer science; Coordinate measuring machines; Heart; Logic gates; Neural network hardware; Neural networks; Random access memory; Read-write memory; Training data; World Wide Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2007. IJCNN 2007. International Joint Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1379-9
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2007.4371123
  • Filename
    4371123