• DocumentCode
    2322194
  • Title

    Neural approaches for modelling nonlinear systems

  • Author

    Turki, Amina ; Chtourou, Mohamed ; Djemel, Mohamed

  • Author_Institution
    Res. Unit of Intell. Control, Design & Optimization of complex Syst. (ICOS, Nat. Sch. of Eng. of Sfax, Sfax, Tunisia
  • fYear
    2010
  • fDate
    27-30 June 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper deals with the problem of neural modeling of nonlinear systems. In a first place, we will discuss the neural modeling process. The approach adopted of neural modeling will be presented in a second place; this method is based on mono-network neural modeling and multi-network neural modeling. The results of simulation obtained will be illustrated by a nonlinear system of second order and by a chemical process.
  • Keywords
    neural nets; nonlinear systems; mono-network neural modeling; multinetwork neural modeling; neural modeling process; nonlinear systems; US Department of Energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Signals and Devices (SSD), 2010 7th International Multi-Conference on
  • Conference_Location
    Amman
  • Print_ISBN
    978-1-4244-7532-2
  • Type

    conf

  • DOI
    10.1109/SSD.2010.5585550
  • Filename
    5585550