• DocumentCode
    1643887
  • Title

    The effective weighting method of CNN as a recall

  • Author

    Mizutani, Hikaru

  • Author_Institution
    Shonan Inst. of Technol., Kanagawa, Japan
  • fYear
    1992
  • Firstpage
    86
  • Lastpage
    91
  • Abstract
    A synthesis method for determining weights for association in a cellular neural network (CNN) is presented. The weights determined by the method are given. The associative operation of a CNN is simulated by using the resulting weights. The CNN utilizing the proposed weighting method recalls all fundamental memories
  • Keywords
    content-addressable storage; neural nets; pattern recognition; CNN; associative operation; cellular neural network; memory recalls; weighting method; Artificial intelligence; Cellular neural networks; Equations; Error correction; Hopfield neural networks; Network synthesis; Neural networks; Neurons; Sparse matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and their Applications, 1992. CNNA-92 Proceedings., Second International Workshop on
  • Conference_Location
    Munich
  • Print_ISBN
    0-7803-0875-1
  • Type

    conf

  • DOI
    10.1109/CNNA.1992.274350
  • Filename
    274350
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1643887