• DocumentCode
    2287006
  • Title

    A new design method for the neighborhood on improving the CNN´s efficiency

  • Author

    Zhang, Z. ; Namba, E.M. ; Takatori, S. ; Kawabata, H.

  • Author_Institution
    Ind. Technol. Center of Okayama Prefecture, Japan
  • fYear
    2002
  • fDate
    22-24 Jul 2002
  • Firstpage
    571
  • Lastpage
    578
  • Abstract
    Setting the optimal values of the neighborhood is an important factor for improving a CNN´s capability. In this paper, we propose a new design method for the neighborhood, which reduces the computation time while maintaining its capability. In order to examine its effectiveness, we use synthesized model patterns and confirm whether the efficiency is improved. In addition, we apply the CNN designed to diagnosing abnormal sounds and obtained very encouraging results.
  • Keywords
    cellular neural nets; content-addressable storage; abnormal sounds; cellular neural network; computation time; design method; optimal values; synthesized model patterns; Analog circuits; Associative memory; Cellular neural networks; Circuit synthesis; Design methodology; Differential equations; Feature extraction; Liver diseases; Network synthesis; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on
  • Print_ISBN
    981-238-121-X
  • Type

    conf

  • DOI
    10.1109/CNNA.2002.1035097
  • Filename
    1035097