• DocumentCode
    3635897
  • Title

    Layer recurrent neural network solution for an electromagnetic interference problem

  • Author

    Dan D. Micu;Levente Czumbil;Andrei Ceclan;Anca Mutu;Denisa Stet

  • Author_Institution
    Department of Electrical Engineering, Technical University of Cluj Napoca, 26 George Baritiu Street, 400027, Romania
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    The paper presents an artificial intelligence approach in electromagnetic interference study between high voltage power lines and metallic underground pipelines for different problem geometries. The presented artificial intelligence solution is a layer recurrent neural network one. Results gained with neural networks are compared to finite element solutions considered as standard ones.
  • Keywords
    "Recurrent neural networks","Electromagnetic interference","Neural networks","Pipelines","Artificial intelligence","Voltage","Artificial neural networks","Finite element methods","Geometry","Power systems"
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
  • Print_ISBN
    978-1-4244-7059-4
  • Type

    conf

  • DOI
    10.1109/CEFC.2010.5481648
  • Filename
    5481648
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3635897