• DocumentCode
    2625189
  • Title

    Neural networks update

  • Author

    Kirkpatrick, E. Scott

  • Author_Institution
    IBM Res., Yorktown Heights, NY, USA
  • fYear
    1991
  • fDate
    14-16 Oct 1991
  • Firstpage
    10
  • Abstract
    Summary form only given, as follows. Neural networks have been intensively studied as a discipline in their own right in the last five years (late 1980s, early 1990s). Initial claims were extremely ambitious; by using the brain´s computing principles, networks would eliminate programming, revolutionize computer architecture and sensor interfacing, make analog VLSI a reality, and give guidance to a new understanding of human cognition. Work in two areas is described: statistical methods to deal with classification, prediction, and control in data-rich, intuition-poor problems; and VLSI solutions, both in digital and analog styles, to accommodate these architectures
  • Keywords
    VLSI; neural nets; parallel architectures; statistical analysis; VLSI solutions; analog VLSI; classification; computer architecture; prediction; sensor interfacing; statistical methods; Analog computers; Biological neural networks; Brain computer interfaces; Cognition; Computer architecture; Computer interfaces; Computer networks; Humans; Neural networks; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Design: VLSI in Computers and Processors, 1991. ICCD '91. Proceedings, 1991 IEEE International Conference on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    0-8186-2270-9
  • Type

    conf

  • DOI
    10.1109/ICCD.1991.139829
  • Filename
    139829