| GPS高程拟合的BP人工神经网络算法及结构探讨 |
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| 引用本文： | 曹先革,杨金玲,曹先密.GPS高程拟合的BP人工神经网络算法及结构探讨[J].地理空间信息,2010,8(4):48-51. |
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| 作者姓名： | 曹先革 杨金玲 曹先密 |
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| 作者单位： | 1. 黑龙江工程学院,测绘工程系,黑龙江,哈尔滨,150050;东北林业大学,林学院,黑龙江,哈尔滨,150040
2. 武汉大学,测绘学院,湖北,武汉,430079 |
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| 基金项目： | 地理空间信息工程国家测绘局重点实验室开放基金资助项目，黑龙江工程学院院基金资助项目 |
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| 摘 要： | 分析了GPS高程异常求解的三种常用方法,对转换GPS高程的BP人工神经网络算法及模型结构进行了较详细的试验研究,结合GPS测量和水准测量资料,对拟合精度进行了分析比较,得出了有实用价值的结论。
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| 关 键 词： | GPS 大地高 正常高 高程异常 BP神经网络 |
Method and Structure of BP Neural Network in GPS Elevation Fitting |
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| CAO Xiange,YANG Jinling,CAO Xianmi.Method and Structure of BP Neural Network in GPS Elevation Fitting[J].Geospatial Information,2010,8(4):48-51. |
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| Authors: | CAO Xiange YANG Jinling CAO Xianmi |
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| Institution: | CAO Xiange 1,2,YANG Jinling 1,CAO Xianmi 3 (1.Heilongjiang Institute of Technology,Harbin 150050,China,2.North-East Forestry University,Harbin 150040,3.School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China) |
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| Abstract: | In this paper the three methods of GPS elevation abnormal fitting in common use were analyzed,the method of GPS elevation abnormal fitting based on BP Neural Network and model structures were studied based on the GPS and Leveling data,some valuable conclusions were drawn from the analysis of the accuracy of conversion result. |
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| Keywords: | GPS |
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