• DocumentCode
    2740720
  • Title

    Multimodular neural architecture for teledetection

  • Author

    Thiria ; Mejia, Carolina ; Badran, F. ; Crepon, M.

  • Author_Institution
    Lab. de Recherche en Inf., Univ. de Paris Sud, Orsay
  • fYear
    1991
  • fDate
    8-14 Jul 1991
  • Abstract
    Summary form only given, as follows. In order to solve complex tasks, a ´machine´ made with three levels of nonlinear multilayer networks has been designed. Each level works in parallel and is dedicated to a specific task. On each level all networks are of the same type. This machine was used to compute wind direction and wind speed measured by satellite scatterometers. The performances obtained demonstrate the power of this approach
  • Keywords
    atmospheric techniques; geophysics computing; neural nets; remote sensing; wind; multimodular neural architecture; nonlinear multilayer networks; performance; satellite scatterometers; teledetection; wind direction; wind speed; Algorithm design and analysis; Application software; Art; Computer networks; Design engineering; Group technology; Neural networks; Power engineering computing; Resonance; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-0164-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.155569
  • Filename
    155569