Study on Method of GPS Height Fitting Based on BP Artificial Neural Network
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摘要: 为了提高GPS高程测量的精度,提出了基于BP神经网络的GPS高程拟合方法,并以2座特大桥控制网数据为例,与常规多项式曲面拟合方法进行了比较.理论和实例证明,利用BP神经网络进行GPS高程拟合是可行的,尤其是在已知点较少的情况下,该方法具有实际意义.Abstract: In order to provide an effective method of GPS height fitting, a novel method based on BP artificial neural network was proposed, and compared with the polynomial surface fitting method by taking the data of two engineering control networks as examples.Theory and practice show that GPS height fitting with the method of BP artificial neural network is feasible, and especially in cases with less known points, it has great practical significance.
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Key words:
- BP artificial neural network /
- GPS height /
- height abnormity /
- fitting
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胡伍生,高成发.GPS测量原理及其应用[M].北京:人民交通出版社,2002:139-198.[2] 胡伍生,华锡生,鲍兴南.转换GPS高程的神经网络模型试验研究[J].测绘工程,2002,11(3):53-56.HU Wusheng,HUA Xisheng,BAO Xinnan.The test research on neural network model used for transforming GPS height[J].Engineering of Surveying and Mapping,2002,11 (3):53-56.[3] 杨明清,靳蕃,朱达成,等.用神经网络方法转换GPS高程[J].测绘学报,1999,28(4):301-307.YANG Mingqing,JIN Fan,ZHU Dacheng,et al.Conversion of GPS height by artificial neural network method[J].Acta Geodaeticaet Cartographic Sinica,1999,28 (4):301-307.[4] 吴良才,胡振琪.基于神经网络的GPS高程转换方法[J].工程勘察,2004(2):49-51.WU Liangcai,HU Zhenqi.GPS height conversion by artificial neural network method[J].Geotechnical Investigation and Surveying,2004(2):49-51.[5] 周忠谟,易杰军,周琪.GPS卫星测量原理与应用[M].北京:测绘出版社,1997:230-240.[6] 李士勇.模糊控制·神经控制和智能控制论[M].哈尔滨:哈尔滨工业大学出版社,1998:74-101.[7] [日]谷萩隆嗣.人工神经网络与模糊信号处理[M].北京:科学出版社,2003:20-32. -
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