| GPS高程的神经网络转换方法 |
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| 引用本文： | 王小红,胡兵华,龚微.GPS高程的神经网络转换方法[J].江西科学,2012,30(3):308-310,415. |
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| 作者姓名： | 王小红 胡兵华 龚微 |
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| 作者单位： | 1. 江西省交通设计院,江西南昌,330002
2. 江铃汽车集团江西工程建设有限公司,江西南昌,330001 |
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| 摘 要： | 探讨了用神经网络方法转换GPS大地高为正高或正常高,给出了一种改进的BP神经网络拓扑结构和算法,并用GPS实测资料数据进行了计算分析,估算精度达到厘米级,且精度比较稳定,已知样本点的数量要求较少。
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| 关 键 词： | 神经网络 GPS 大地高 正常高 精度 |
The Method of Artificial Neural Network Conversion For GPS Height |
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| WANG Xiao-hong,HU Bing-hua,GONG Wei.The Method of Artificial Neural Network Conversion For GPS Height[J].Jiangxi Science,2012,30(3):308-310,415. |
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| Authors: | WANG Xiao-hong HU Bing-hua GONG Wei |
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| Institution: | 1.Communications Design Institute of Jiangxi Province,Jiangxi Nanchang 330002 PRC; 2.Jiangxi JMCG Engineering & Construction Co.Ltd.,Jiangxi Nanchang 330001 PRC) |
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| Abstract: | In this paper,A conversion of GPS height to normal height by means of neural network is proposed.The topological structure and the algorithm of the BP neural network are presented.Calculated and analyzed by the measured data of GPS,the estimation precision to centimeter,and the precision is relatively stable,the number of the known sample points requiring less. |
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| Keywords: | : Artificial neural network GPS height Normal height Precision |
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