• DocumentCode
    2741744
  • Title

    A VLSI and WSI systolic architecture for multilayer feed-forward networks of arbitrary size

  • Author

    Barro, S. ; Yanez, A.

  • Author_Institution
    Dept. Electron., Univ. de Santiago de Compostela, Spain
  • fYear
    1991
  • fDate
    8-14 Jul 1991
  • Abstract
    Summary form only given, as follows. The authors discuss a systolic architecture for the VLSI and WSI (wafer scale integration) implementation of multilayer feedforward networks in which the simplicity of the processing elements facilitates their integration. This architecture permits parallel and/or cascade connections of multiple base modules without the need of additional hardware. This way, interconnecting many chips for a complete system, one can implement structures with a large number of layers and neurodes per layer and their performance can be improved
  • Keywords
    VLSI; neural nets; parallel architectures; systolic arrays; VLSI; cascade connections; multilayer feedforward networks; multiple base modules; neurodes; parallel connections; performance; systolic architecture; wafer scale integration; Acceleration; Artificial intelligence; Artificial neural networks; Feedforward systems; Hardware; Nonhomogeneous media; Parallel algorithms; Parallel processing; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-0164-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.155574
  • Filename
    155574