DocumentCode :
3198697
Title :
The Application of BP Neural Network in GPS Elevation Fitting
Author :
Lei, Weiwei ; Qi Xiudong
Author_Institution :
Sch. of Surveying & Land Inf. Eng., Henan Polytech. Univ., Jiaozuo, China
Volume :
3
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
698
Lastpage :
701
Abstract :
The application of BP neural network in GPS elevation fitting was discussed in this paper. The basic principle of BP neural network and its structure and algorithm were also introduced briefly. Based on the GPS control network and leveling data of Jiaozuo city, the quasi geoid model in centimeter level was determined by MATLAB, some useful conclusions were given finally.
Keywords :
Global Positioning System; backpropagation; geophysics computing; mathematics computing; neural nets; BP neural network; GPS control network; GPS elevation fitting; MATLAB; Automation; Computer networks; Feedforward neural networks; Geodesy; Global Positioning System; MATLAB; Mathematical model; Multi-layer neural network; Neural networks; Surface fitting; BP neural network; GPS elevation fitting; MATLAB; precision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
Type :
conf
DOI :
10.1109/ICICTA.2010.162
Filename :
5523035
Link To Document :
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