STUDY ON PREDICTION OF ZENITH TROPOSPHERIC DELAY BY USE OF BP NEURAL NETWORK
Wang Yong 1, 2) ; Zhang Lihui 3) ;and Yang Jing 3)
1)School of Surveying & Land Information Engineering, Henan Polytechnic University, Jiaozuo 4540002)Earthquake Engineering Research Center, Hebei United University,Tangshan 0630093)College of Mining Engineering, Hebei United University, Tangshan 063009
Abstract BP neural network technology improved according to LevenbergMarquart theory was used for GPS tropospheric delay prediction with the data of Southern California Integrated GPS Network. It is shown that the deviations between the predicted value of 76% GPS Stations and the actual value are less than 3cm. The accuracy of the prediction achieves centimeter level, at some sites amounted to millimeters. Unreasonabl spatial location of the site and site elevation different to the surrounding sites of training samples are the reason which leads to poor prediction for few sites.
Key words ：
BP neural network
tropospheric delay
GPS
Southern California Integrated GPS Network(SCIGN)
prediction
Received: 01 January 1900
Corresponding Authors:
Wang Yong
Cite this article:
Wang Yong,Zhang Lihui ,and Yang Jing . STUDY ON PREDICTION OF ZENITH TROPOSPHERIC DELAY BY USE OF BP NEURAL NETWORK[J]. , 2011, 31(3): 134-137.
Wang Yong,Zhang Lihui ,and Yang Jing . STUDY ON PREDICTION OF ZENITH TROPOSPHERIC DELAY BY USE OF BP NEURAL NETWORK[J]. jgg, 2011, 31(3): 134-137.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2011/V31/I3/134
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