• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 21 Issue 6
Dec.  2008
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Article Contents
SONG Lei, HUANG Teng, FANG Jian, ZHOU Xuhua. Conversion of GPS Height Based on Bayesian Regularization BP Neural Network[J]. Journal of Southwest Jiaotong University, 2008, 21(6): 724-728.
Citation: SONG Lei, HUANG Teng, FANG Jian, ZHOU Xuhua. Conversion of GPS Height Based on Bayesian Regularization BP Neural Network[J]. Journal of Southwest Jiaotong University, 2008, 21(6): 724-728.

Conversion of GPS Height Based on Bayesian Regularization BP Neural Network

  • Received Date: 07 May 2008
  • Publish Date: 25 Dec 2008
  • In order to improve the over-fitting in GPS(global positioning system) height conversion using BP(back propagation) neural network,a new method of GPS height conversion based on the Bayesian regularization BP neural network was proposed.Using the GPS/leveling data in a certain area,this new method was compared with the BP neural network without using the regularization algorithm for GPS height conversion.The research results show that the new method can not only improve the precision of GPS height conversion but also restrain the over-fitting through using the Bayesian regularization algorithm to improve the structure of neural networks in cases with a big area and anomalous height anomaly.The precision of GPS height conversion can achieve 0.050 m to an about 10 km baseline with the new method.

     

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