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
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;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
DOI :
10.1109/ICCIS.2012.317
