• DocumentCode
    396721
  • Title

    A VLSI Hamming artificial neural network with k-winner-take-all and k-loser-take-all capability

  • Author

    Badel, Stéphane ; Schmid, Alexandre ; Leblebici, Yusuf

  • Author_Institution
    Microelectron. Syst. Lab., Swiss Fed. Inst. of Technol., Lausanne, Switzerland
  • Volume
    2
  • fYear
    2003
  • fDate
    20-24 July 2003
  • Firstpage
    977
  • Abstract
    A novel circuit-level Hamming artificial neural network architecture based on the principle of analog charge-based computation of the neural function is proposed. k-winner-take-all and k-loser-take-all operations are performed in the time-domain, allowing for fast and compact realization of complex functions. The VLSI realization of a two-dimensional array arrangement of the Hamming network is presented, with the targeted processing applications.
  • Keywords
    VLSI; feedforward neural nets; image processing; neural chips; neural net architecture; Hamming artificial neural network; VLSI realization; analog charge-based computation; complex functions realization; k-loser-take-all capability; k-winner-take-all capability; Artificial neural networks; Circuits; Computer architecture; Computer networks; Feedforward systems; Hamming distance; Image processing; Time domain analysis; Very large scale integration; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2003. Proceedings of the International Joint Conference on
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7898-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2003.1223823
  • Filename
    1223823