• DocumentCode
    467719
  • Title

    Elamn Network using Simulated Annealing Algorithm and its Application in Thermal Processes Modeling

  • Author

    Zhang, Luan-Ying ; Gu, Jun-jie ; Qin, Zhi-ming

  • Author_Institution
    North China Electr. Power Univ., Baoding
  • Volume
    2
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    929
  • Lastpage
    933
  • Abstract
    This paper obtained the connection values of both feedforward and feedback connections of improved Elman networks through simulated annealing algorithm, which can avoid the network trapped into local minimum. The connection values of the feedback don´t need modified manually. The paper established the nonlinear model of thermal processes with the Elman networks. And then the simulation study proved that the Elman network model using simulated annealing algorithm does not need complicated architecture, which make a good match for the thermal processes plant and has good generalization ability.
  • Keywords
    feedback; feedforward; heat systems; process control; simulated annealing; Elman network; feedback connections; feedforward connections; simulated annealing algorithm; thermal processes modeling; Control systems; Cybernetics; Dynamic programming; Machine learning; Machine learning algorithms; Mathematical model; Neural networks; Propagation delay; Recurrent neural networks; Simulated annealing; Elman network; Modeling; Simulated annealing algorithm; Thermal processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370275
  • Filename
    4370275