• DocumentCode
    1702373
  • Title

    ASIC design of a Kohonen neural network microchip

  • Author

    Rajah, Avinash ; Hani, Mohamed Khalil

  • Author_Institution
    Dept. of Microelectron. & Comput. Eng., Univ. Teknologi Malaysia, Johor Bahru, Malaysia
  • fYear
    2004
  • Abstract
    This paper discusses the Kohonen neural network (KNN) processor and its KNN computation engine microchip. The ASIC design of the KNN processor adopts a novel implementation approach whereby the computation of the KNN algorithm is performed on the custom ASIC microchip and its operations are governed by a FPGA based controller. Thus, the ASIC implementation of the KNN processor is derived through integration between a custom ASIC and FPGA. The 3.3V AMI 0.5μm C05M-D process technology was used to achieve the VLSI design of the computation engine microchip and the entire design adopted the BBX cell based methodology, which is a viable alternative to conventional ASIC methodology.
  • Keywords
    VLSI; application specific integrated circuits; field programmable gate arrays; integrated circuit design; logic design; microprocessor chips; neural chips; 0.5 micron; 3.3 V; BBX cell; C05M-D process; KNN algorithm; Kohonen neural network microchip; VLSI design; custom ASIC; field programmable gate array; Algorithm design and analysis; Application specific integrated circuits; Biological neural networks; Computer networks; Engines; Field programmable gate arrays; Neural networks; Neurons; Pattern recognition; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semiconductor Electronics, 2004. ICSE 2004. IEEE International Conference on
  • Print_ISBN
    0-7803-8658-2
  • Type

    conf

  • DOI
    10.1109/SMELEC.2004.1620857
  • Filename
    1620857