• DocumentCode
    2557388
  • Title

    Intelligent simulation and prediction methods of structure state

  • Author

    Yuan, Jingling ; Zhong, Luo ; Li, Ziayan

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    1345
  • Lastpage
    1347
  • Abstract
    This paper provides a set of intelligent simulation techniques of structure state, which mainly combines intelligent technique of information processing, mix programming, scientific visualization technique, visualization interface based on XML technique, soft component technique and engineering database, etc, this method fully integrates advanced computer science and technology with structure analysis and optimization. Then, intelligent visualization is proposed and researched. Especially, two improved gray models (GRBF static prediction model and DRBF dynamic prediction model) that can well visualize small sample data simulation are proposed. Finally, fundamental intelligent simulation framework of structure state is established.
  • Keywords
    XML; data visualisation; database management systems; digital simulation; grey systems; object-oriented programming; radial basis function networks; structural engineering computing; user interfaces; DRBF dynamic prediction model; GRBF static prediction model; XML technique; engineering database; gray model; information processing; intelligent simulation technique; mix programming; scientific visualization technique; software component technique; structure state prediction method; visualization interface; Analytical models; Computational modeling; Computer simulation; Data visualization; Deductive databases; Information processing; Intelligent structures; Prediction methods; Predictive models; XML; DRBF; GRBF; Intelligent Simulation; Visualization Interface; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597536
  • Filename
    4597536