• DocumentCode
    3719610
  • Title

    Comparative study of neural model and multimodel for DFIM

  • Author

    Abid Aicha;Benhamed Mouna;Sbita Lassaad

  • Author_Institution
    National Engineering School of Gabes, Tunisia Photovoltaic, Wind and Geothermal Systems Research Gabes, Tunisia
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper deal with a comparative study of two modeling approach applied to modeling the DFIM as a complex and nonlinear industrial system. The first method is based on multi-model approach whereas the second is based on neural approach.
  • Keywords
    "Induction machines","Databases","Computational modeling","Mathematical model","Nonlinear dynamical systems","Biological neural networks"
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Computer Applications Congress (WCITCA), 2015 World Congress on
  • Type

    conf

  • DOI
    10.1109/WCITCA.2015.7367053
  • Filename
    7367053
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3719610