| 基于BP神经网络的GPS高程拟合方法的探讨 |
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| 引用本文： | 刘成龙,杨天宇.基于BP神经网络的GPS高程拟合方法的探讨[J].西南交通大学学报,2007,42(2):148-152. |
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| 作者姓名： | 刘成龙 杨天宇 |
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| 作者单位： | 1. 西南交通大学土木工程学院,四川,成都,610031
2. 四川省交通厅公路规划勘察设计研究院,四川,成都,610041 |
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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．
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| 关 键 词： | BP神经网络 GPS高程 高程异常 拟合 |
| 文章编号： | 0258-2724（2007）02-0148-05 |
| 修稿时间： | 2006-07-08 |
Study on Method of GPS Height Fitting Based on BP Artificial Neural Network |
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| LIU Chenglong,YANG Tianyu.Study on Method of GPS Height Fitting Based on BP Artificial Neural Network[J].Journal of Southwest Jiaotong University,2007,42(2):148-152. |
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| Authors: | LIU Chenglong YANG Tianyu |
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| Institution: | 1. School of Civil Eng., Southwest Jiaotong University, Chengdu 610031, China; 2. Siehuan Province Communications Department Highway Planning, Survey, Design and Research Institute, Chengdu 610041, China |
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| 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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| Keywords: | BP artificial neural network GPS height height abnormity fitting |
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