• DocumentCode
    328356
  • Title

    Very-high-speed analog neural network LSI implementation using super self-aligned Si bipolar process technology

  • Author

    Aisawa, Shigeki ; Noguchi, Kazuhiro ; Koga, Masafunii ; Matsumoto, Takao ; Amemiya, Yoshiteru

  • Author_Institution
    NTT Transmission Syst. Labs., Kanagawa, Japan
  • Volume
    1
  • fYear
    1993
  • fDate
    25-29 Oct. 1993
  • Firstpage
    895
  • Abstract
    A very-high-speed ten-neuron analog neural network LSI chip is fabricated for the first time with super self-aligned Si bipolar process technology. The LSI consists of ten neurons and 100 electrically modifiable synaptic weights. The neural network nonlinear mapping function to solve the four-bit parity problem has been successfully demonstrated at 150 megapatterns/sec. The operation speed of this neural network is, to the best of the authors´ knowledge, the fastest yet reported.
  • Keywords
    analogue processing circuits; bipolar analogue integrated circuits; large scale integration; neural chips; very high speed integrated circuits; four-bit parity problem; nonlinear mapping function; super self-aligned Si bipolar process technology; ten-neuron analog neural network LSI chip; very-high-speed analog neural network LSI implementation; Circuits; Differential amplifiers; High speed optical techniques; Laboratories; Large scale integration; Neural networks; Neurons; Nonlinear optics; Optical signal processing; Signal design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
  • Print_ISBN
    0-7803-1421-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.1993.714055
  • Filename
    714055