• DocumentCode
    3392631
  • Title

    Intelligent construction of DSS model based on integration of neural network and expert system

  • Author

    Rubo Geng ; Gang Xu ; Meng Li

  • Author_Institution
    Training Dept., Xuzhou Air Force Acad., Xuzhou, China
  • fYear
    2011
  • fDate
    19-22 Aug. 2011
  • Firstpage
    906
  • Lastpage
    908
  • Abstract
    As concerning the problems of intelligent construction existed in the decision support system (DSS) model, one construction plan and one system structure of intelligent construction of DSS model based on integration of neural network (NN) and expert system (ES) are presented. On the basis of separating the literal description and the data description, ES was applied to select the model type. On the basis of considering the characters of ES and NN in the knowledge acquisition and reasoning, the system structure model of DSS intelligent construction was given based on NN. Through the example of intelligent construction of auto regression and move average (ARMA) model, the experiment result can show that the method is proved feasible and effective for dealing with the model construction problem integrated with language and data description.
  • Keywords
    autoregressive moving average processes; decision support systems; expert systems; knowledge acquisition; neural nets; DSS model; auto regression and move average model; data description; decision support system; expert system; intelligent construction; knowledge acquisition; literal description; neural network; Artificial neural networks; Cognition; Correlation; Data models; Decision support systems; Expert systems; decision support system; expert system; intelligent model construction; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
  • Conference_Location
    Jilin
  • Print_ISBN
    978-1-61284-719-1
  • Type

    conf

  • DOI
    10.1109/MEC.2011.6025611
  • Filename
    6025611