• DocumentCode
    2547603
  • Title

    Analysis of electromagnetic interference problems proposed to be through an innovative Monte Carlo - Neural Network method

  • Author

    Micu, Dan D. ; Czumbil, Levente ; Polycarpou, A.C. ; Ceclan, Andrei ; Cimpan, Liliana

  • Author_Institution
    Dept. of Electr. Eng., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper analyzes an electromagnetic interference problem and proposes an original approach using a combination of Monte Carlo Method and Neural Network Techniques. A simple electrostatic problem is resolved to test the proposed method. Obtained esults are compared with analytical ones to establish the effectiveness and applicability of the method.
  • Keywords
    Monte Carlo methods; electromagnetic interference; neural nets; Monte Carlo method; electromagnetic interference; neural network technique; Monte Carlo method; Neural Networks; electromagnetic interference;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2010), 7th Mediterranean Conference and Exhibition on
  • Conference_Location
    Agia Napa
  • Type

    conf

  • DOI
    10.1049/cp.2010.0939
  • Filename
    5716017
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2547603