• DocumentCode
    2066764
  • Title

    An analogue neural network using MCM technology

  • Author

    Jabri, Marwan ; Leong, Philip ; Burr, Jim ; Flower, Barry ; Lai, Kam K. ; Pickard, Stephen ; Tinker, Edward ; Coggins, Richard

  • Author_Institution
    SEDAL, Sydney Univ., NSW, Australia
  • fYear
    1993
  • fDate
    24-26 Nov 1993
  • Firstpage
    122
  • Lastpage
    125
  • Abstract
    Describes a large analogue neural network implemented using multichip module (MCM) technology to provide interchip connections. An array of eight synapse chips, each containing 2500 synapses, is connected to a neuron chip on an MCM to implement a (150, 100, 50) network containing more than one million transistors. MCM technology enables a higher synapse density to be achieved and benefits which include smaller area and reduced parasitics can be enjoyed. The MCM is under construction, and its completion will provide a large analogue neural network in a single package which can be used for many applications which require such networks
  • Keywords
    analogue computer circuits; linear integrated circuits; multichip modules; neural chips; analogue neural network; area; interchip connections; multichip module technology; neuron chip; parasitics; synapse chips; synapse density; Artificial neural networks; Integrated circuit interconnections; Multi-layer neural network; Multichip modules; Multilayer perceptrons; Neural networks; Neurons; Very large scale integration; Voltage; Wire;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Neural Networks and Expert Systems, 1993. Proceedings., First New Zealand International Two-Stream Conference on
  • Conference_Location
    Dunedin
  • Print_ISBN
    0-8186-4260-2
  • Type

    conf

  • DOI
    10.1109/ANNES.1993.323066
  • Filename
    323066