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