| 利用小波神经网络的GPS高程转换 |
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| 引用本文： | 叶发学,袁图杰,叶虎春,孙茂军.利用小波神经网络的GPS高程转换[J].测绘信息与工程,2013(6):23-26. |
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| 作者姓名： | 叶发学 袁图杰 叶虎春 孙茂军 |
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| 作者单位： | [1]贵州省地矿局102地质大队,遵义市董公寺镇,5630002 [2]遵义市规划设计院,遵义市大兴路29号,563000 [3]3武汉大学卫星导航定位技术研究中心,武汉市珞喻路129号,430079 [4]青海省第一测绘院,西宁市黄河路13号,810001 |
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| 基金项目： | 国家自然科学基金资助项目（41074008） |
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| 摘 要： | 介绍小波神经网络的基本结构及学习算法,并应用于GPS大地高转换为正常高。结合实际工程数据,与BP神经网络作比较分析,因小波网络较强的非线性使得它泛化性能更好,收敛速度更快,经实例论证,在同等条件下,小波神经网络方法用于GPS高程转换的精度优于BP神经网络,且其精度可满足常规工程需要,具有一定实用价值。
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| 关 键 词： | 小波分析 神经网络 GPS 高程拟合 |
GPS Elevation Fitting Based on Wavelet Neural Network |
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| YE Faxue,YUAN Tujie,Ye Huchun SUN Maojun.GPS Elevation Fitting Based on Wavelet Neural Network[J].Journal of Geomatics,2013(6):23-26. |
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| Authors: | YE Faxue YUAN Tujie Ye Huchun SUN Maojun |
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| Institution: | 1 Geological Team 102, Guizhou Bureau of Geology and Mineral Resources, l)onggnngshi Town, Znnyi 563000, China ; 2 Zun Yi Planning and Design Institute, 29 Daxing Road, Zunyi 563000, China; 3 Research Center of GNSS,Wuhan University, 129 Luoyu Road, Wuhan 430079, China ; 4 ＇File First Institute of Surveying and Mapping of Qinghai Province, 13 Huanghe Road, Xining 810001 , China ) |
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| Abstract: | In this study, the basic structure of the wavelet neu- ral network and learning algorithm was described, and applied to the transition of GPS Height to Normal Height. With actual project data, wavelet network generalization performances bet- ter and faster convergence rate due to its strong non-linear com- pared with BP neural network under the same conditions dem- onstrated by the instance, and it has higher accuracy than BP neural network in GPS height conversion, which can meet in the traditional engineers＇ accuracy, which is proved to have certain practical value. |
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| Keywords: | wavelet analysis neural network GPS heght fit- ting |
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