• DocumentCode
    3242153
  • Title

    Modeling of non isothermal CSTR with the method of RBF NN

  • Author

    Attaran, Seyed Mohammad ; Abdullah, Shahrum Shah Bin

  • fYear
    2011
  • fDate
    19-21 April 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we provide a short review of radial basis function (RBF) and its properties. In addition RBF NN was used to estimate the non-Isothermal CSTR. For achieving this goal because of on lining data it was necessary to use the RLS each time that new data come to system. By using this method (RLS), RBF NN updates its weights for mapping the input and output of the system.
  • Keywords
    chemical reactors; neurocontrollers; nonlinear control systems; radial basis function networks; RBF NN; input mapping; nonisothermal CSTR; nonlinear system; onlining data; radial basis function; Artificial neural networks; Chemical reactors; Data models; Estimation; Isothermal processes; Mathematical model; Radial basis function networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling, Simulation and Applied Optimization (ICMSAO), 2011 4th International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4577-0003-3
  • Type

    conf

  • DOI
    10.1109/ICMSAO.2011.5775525
  • Filename
    5775525
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3242153