• DocumentCode
    1621148
  • Title

    CNN. I. A generic class of locally-connected, smart, analog, and parallel computation circuits

  • Author

    Chua, L.O.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • fYear
    1992
  • Firstpage
    144
  • Abstract
    The cellular neural network (CNN) is a generic class of locally connected, smart, analog and parallel computation circuits. An overview is given of the key principles and the various classes of multidimensional processing arrays. Key research areas are identified
  • Keywords
    analogue processing circuits; cellular arrays; neural nets; parallel processing; cellular neural network; locally-connected; multidimensional processing arrays; parallel computation circuits; smart analog circuits; Analog computers; Cellular neural networks; Circuits; Concurrent computing; Delay; Geometrical optics; Neural networks; Programmable logic arrays; Signal processing; Stability;
  • 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.1992.271311
  • Filename
    271311
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1621148