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