• DocumentCode
    341364
  • Title

    An analogue multilayer perceptron circuit with on-chip training

  • Author

    Foruzandeh, B. ; Quigley, S.F.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tehran Univ., Iran
  • Volume
    5
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    395
  • Abstract
    This paper reports on the design of a compact CMOS analogue VLSI multilayer perceptron (MLP) with a novel on-chip control circuit that implements the weight perturbation learning rule. A demonstrator chip has been fabricated and tested to establish the correctness of the circuits
  • Keywords
    CMOS analogue integrated circuits; VLSI; analogue processing circuits; feedforward neural nets; learning (artificial intelligence); multilayer perceptrons; neural chips; CMOS analogue VLSI MLP; analogue multilayer perceptron circuit; onchip control circuit; onchip training; weight perturbation learning rule; Analog computers; CMOS analog integrated circuits; Circuit testing; Computer errors; Design engineering; Error correction; Mean square error methods; Multilayer perceptrons; Neural network hardware; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-5471-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.1999.777592
  • Filename
    777592