• DocumentCode
    3245261
  • Title

    A novel technology for fabricating customizable VLSI artificial neural network chips

  • Author

    Fu, Chi Yung ; Law, Benjamin ; Chapline, George ; Swenson, Dick

  • Author_Institution
    Lawrence Livermore Nat. Lab., California Univ., CA, USA
  • Volume
    2
  • fYear
    1992
  • fDate
    7-11 Jun 1992
  • Firstpage
    631
  • Abstract
    The authors describe an implementation of hardware neural networks using highly linear thin-film resistor technology and an 8-b binary weight circuit to produce customizable artificial neural network chips and systems. These neural networks are programmed using precision laser cutting deposition. The fast turnaround of laser-based customization allows the exploration of different neural network architectures and rapid programming of the synaptic weights. The customizable chip allows expansion of an artificial network laterally and vertically. This flexibility permits the building of very large neural network systems
  • Keywords
    VLSI; neural chips; customizable chip; hardware neural networks; neural network chips; thin-film resistor technology; Artificial neural networks; Circuits; Humans; Laser beam cutting; Laser feedback; Neural network hardware; Neural networks; Prototypes; Resistors; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1992. IJCNN., International Joint Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    0-7803-0559-0
  • Type

    conf

  • DOI
    10.1109/IJCNN.1992.226917
  • Filename
    226917