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
Link To Document :
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