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BP神经网络在局部似大地水准面精化的应用
引用本文:李爱国,WANG Wei,徐永胜.BP神经网络在局部似大地水准面精化的应用[J].全球定位系统,2008,33(3):29-31.
作者姓名:李爱国  WANG Wei  徐永胜
作者单位:1. 河南理工大学测绘学院,河南,焦作,454000;长安大学地测学院,陕西,西安,710054
2. 长安大学测绘新技术研究院,陕西,西安,710054
基金项目:河南省教育厅自然科学基础研究项目
摘    要:针对高程拟合中的模型误差问题,采用BP神经网络方法进行拟合,可以减小模型误差,提高似大地水准面的精化精度。在焦作市局部似大地水准面精化算例中,BP神经网络高程拟合取得了良好的效果。

关 键 词:神经网络  似大地水准面精化  正常高  大地高

The Application of BP Neural Network to Local Quasi Geoid Purification
LI Ai-guo,WANG Wei,XU Yong-sheng.The Application of BP Neural Network to Local Quasi Geoid Purification[J].Gnss World of China,2008,33(3):29-31.
Authors:LI Ai-guo  WANG Wei  XU Yong-sheng
Institution:LI Ai-guo1,2,WANG Wei3,XU Yong-sheng4(1.School of Surveying , Mapping,Henan Polytechnic University,Jiaozuo 454000,China,2.School of Geological , Surveying Engineering,Chang\'an University,Xi\'an 710054,3.Institute of L, Surveying , Mapping,Ningbo 315012,4.Institute of New Surveying Research,China)
Abstract:In view of the model error in the fitting,the BP neural network is adopted to process the data including the element of certainty question,which can enhance the purification precision of the quasi geoid purification.A case is given in the local geoid purification in Jiaozuo,in which the fitting precision of BP neural network achieves the ideal results.
Keywords:BP neural network  local quasi geoid purification  normal height  geodetic height  
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