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《Engineering of Surveying and Mapping》 1996-01
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Applying the Optimal Regression Method to Determine the Normal Heights of Local GPS Network

Wu Jiangfei La Zhiping (Zhengzhou Institute of Surveying and Mapping, Zhengzhou,450052)  
An improved multi-parameter regression method to determine the normal height is introduced. It can overcome the limitations of the geometrical methods which are used in practice. It has shown that the accuracy of the calculated mormal height using the new method is greatly improved.
【CateGory Index】: P228.4
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1 Ren Dongfeng and Xu Aigong(School of Geomatics,Liaoning Technical University,Fuxin 123000);APPLICATION OF RBF NETWORK BASED ON GENETIC ALGORITHM OPTIMIZATION TO ESTABLISH GPS HEIGHT CONVERSION MODEL IN MINING AREA[J];Journal of Geodesy and Geodynamics;2012-04
2 WANG Xinzhi1 YANG Zhiqiang2 WANG Xingguo3 CHEN Tao1 1 School of Remote Sensing,Nanjing University of Information Science & Technology,Nanjing 210044 2 Institute of Surveying and Spatial Information,Chang'an University,Xi'an 710054 3 Fujian geologic surveying and mapping institute,Fuzhou 310011;Design and implementation of elevation transmission in Xiamen Jimei Bridge based on BP neural network[J];Journal of Nanjing University of Information Science & Technology(Natural Science Edition);2010-05
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