• DocumentCode
    516486
  • Title

    A new VLSI architecture for large Hopfield´s neural networks

  • Author

    Verleysen, M. ; Sirletti, B. ; Jespers, P.

  • Author_Institution
    Laboratory of microelectronics, Université Catholique de Louvain, 3 pi. du Levant, 1348 Louvain-la-Neuve, Belgium; I.R.S.I.A. fellowship in the field of neural networks.
  • fYear
    1988
  • fDate
    21-23 Sept. 1988
  • Firstpage
    343
  • Lastpage
    345
  • Abstract
    A new CMOS architecture for Hopfield´s neural networks is proposed. The use of differential amplifiers and active synapses allows the implementation of hundreds of neurons on a single chip. Since it is fully programmable, the circuit can be used as a content-addressable memory as well as in optimization problems.
  • Keywords
    Artificial neural networks; Biological neural networks; Biological system modeling; Hopfield neural networks; Microelectronics; Neural networks; Neurons; Pattern recognition; Very large scale integration; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Solid-State Circuits Conference, 1988. ESSCIRC '88. Fourteenth European
  • Conference_Location
    Manchester, UK
  • Type

    conf

  • Filename
    5468264
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=516486