• DocumentCode
    2516897
  • Title

    A CNN universal chip in CMOS technology

  • Author

    Domínguez-Castro, R. ; Espejo, S. ; Rodríguez-Vázquez, A. ; Carmona, R.

  • Author_Institution
    Centro Nacional de Microelectron., Seville Univ., Spain
  • fYear
    1994
  • fDate
    18-21 Dec 1994
  • Firstpage
    91
  • Lastpage
    96
  • Abstract
    This paper describes the design of a CNN universal chip in a standard CMOS technology. The core of the chip consists of an array of 32×32 completely programmable CNN cells. Input image can be loaded in optical or electrical form. Accuracy is in the range of 7-8 bit and cell density is of 33 cells/mm2
  • Keywords
    CMOS integrated circuits; cellular neural nets; neural chips; neural net architecture; CMOS technology; CNN universal chip; array; cell density; cellular neural networks; electrical form; input image; optical form; programmable CNN cells; Analog-digital conversion; CMOS technology; Cellular neural networks; Circuits; Digital control; Equations; Random access memory; Read-write memory; Turing machines; Weight control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
  • Conference_Location
    Rome
  • Print_ISBN
    0-7803-2070-0
  • Type

    conf

  • DOI
    10.1109/CNNA.1994.381701
  • Filename
    381701
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2516897