DocumentCode :
1945120
Title :
A Test of Artificial Neural Network-Based Gross Error Detection Used in Conversion of GPS Heights
Author :
Lingli Zhao ; Shuai Liu ; Li, Junsheng ; Xu, Haicheng ; Lingli Zhao ; Shuai Liu
Author_Institution :
Sch. of Eng., Honghe Univ., Mengzi
Volume :
1
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
49
Lastpage :
52
Abstract :
Artificial neural networks (ANN) has been used in GPS heights conversion. It is impossible to avoid gross errors in conversion of GPS heights. So, the paper puts forward a kind algorithm to detect gross error considering of ANN used in conversion of GPS heights. After the three tests, the algorithm proposed for disposing of gross error is validated in conversion of GPS heights, and some practicable conclusions are received.
Keywords :
Global Positioning System; backpropagation; error detection; neural nets; telecommunication computing; BP neural network; GPS height conversion; artificial neural network; gross error detection; Artificial neural networks; Computer errors; Computer science; Ellipsoids; Feedforward systems; Global Positioning System; Knowledge engineering; Neural networks; Software engineering; Software testing; Algorithm of BP (back propagation); Artificial neural network; GPS heights; Gross error detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.893
Filename :
4721688
Link To Document :
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