• DocumentCode
    1991625
  • Title

    A quickly constructing strategy for mathematical model based on mathematical templates in embedded GIS

  • Author

    Feng, Tao ; Zhang, Yajun ; Hua, Yixin ; Zhang, Mingxin

  • Author_Institution
    Inst. of Surveying & Mapping, Inf. Eng. Univ., Zhengzhou, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Motivated by the principles of artificial neural networks in artificial intelligence, this paper presents the concept of mathematical templates and method for the construction of the mathematical model (called model for short) through these templates nesting and recursive calls. Based on this idea, a new strategy for the construction and its application of the model in embedded GIS are advanced, first, the model is decomposed into mathematical templates based on the model management system running on Window-Desktop Platform, then it is saved in file as the format which can be used by embedded GIS terminal. Finally, it is constructed and applied in embedded terminal by nesting and recursive calls of the composed templates according to the information from the file. This method eliminates the flaw of solidifying the program of models to a certain extent and could realize the quickly constructing and updating of the model in embedded GIS.
  • Keywords
    geographic information systems; object-oriented methods; Window-Desktop Platform; artificial neural networks; embedded GIS; geographic information systems; mathematical model; mathematical templates; model management system; recursive calls; templates nesting; Construction industry; Data models; Geographic Information Systems; Mathematical model; Numerical models; Object oriented modeling; Software; embedded GIS; mathematical template; nesting and recursive calls; object-oriented(OO);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2010 18th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-7301-4
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2010.5567497
  • Filename
    5567497