DocumentCode
569371
Title
The Application of Genetic Neural Network in the GPS Height Transformation
Author
Wu, LiangCai ; Tang, Xiaoquan ; Zhang, Shuyuan
Author_Institution
Coll. of Surveying & Mapping, East China Inst. of Technol., Fuzhou, China
fYear
2012
fDate
17-19 Aug. 2012
Firstpage
255
Lastpage
258
Abstract
Combination of genetic algorithms and neural network intelligence technology, use of neural networks as a model, conversion of GPS Height, proposed the basic idea of the algorithm and the algorithm implementation process, and calculated by example. The results show that the algorithm used for better accuracy of GPS height transformation, has some practical value.
Keywords
Global Positioning System; genetic algorithms; geology; neural nets; GPS height transformation; Global Positioning System; genetic algorithms; genetic neural network; neural network intelligence technology; Biological neural networks; Fitting; Genetic algorithms; Global Positioning System; MATLAB; Surface fitting; Training; Genetic algorithm; Neural network; Normal high; The abnormal height; The earth high;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location
Chongqing
Print_ISBN
978-1-4673-2406-9
Type
conf
DOI
10.1109/ICCIS.2012.317
Filename
6300461
Link To Document