• DocumentCode
    2324653
  • Title

    A preprogrammed artificial neural network architecture in signal processing

  • Author

    Bloomer, J. ; Frank, P. ; Engeler, W.

  • Author_Institution
    GE Corp. Res. & Dev., Schenectady, NY, USA
  • fYear
    1990
  • fDate
    13-16 May 1990
  • Abstract
    A mask-programmable artificial neural network (ANN) chip architecture, the tile-based ANN chip assembly, test and simulation results, and use it in signal processing systems are presented. The ANN chip architecture itself is a critical portion of the development. It is presented as a tool, in an abstract fashion, and the system design it makes possible and the process by which algorithms are converted to silicon (chip floorplan, tiling, etc.) are emphasized
  • Keywords
    computerised signal processing; neural nets; parallel architectures; chip floorplan; mask-programmable; preprogrammed artificial neural network architecture; signal processing; system design; tile-based ANN chip assembly; Adaptive systems; Artificial neural networks; Capacitors; Clocks; Convolution; Intelligent networks; Signal processing; Signal processing algorithms; Silicon; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Custom Integrated Circuits Conference, 1990., Proceedings of the IEEE 1990
  • Conference_Location
    Boston, MA
  • Type

    conf

  • DOI
    10.1109/CICC.1990.124806
  • Filename
    124806