| 基于遗传规划的协方差函数计算及其在GPS高程拟合中的应用 |
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| 引用本文： | 金保平,岳东杰,李成仁.基于遗传规划的协方差函数计算及其在GPS高程拟合中的应用[J].测绘科学技术学报,2012(1):16-19. |
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| 作者姓名： | 金保平 岳东杰 李成仁 |
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| 作者单位： | 河海大学地球科学与工程学院 |
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| 摘 要： | 在利用最小二乘配置进行GPS高程拟合时,协方差函数的确定直接关系到拟合的精度。提出了在预先不知道协方差函数具体形式的情况下,利用遗传规划的原理进行协方差函数的拟合。通过实例验证了遗传规划在协方差函数拟合中的可行性。
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| 关 键 词： | 最小二乘配置 遗传规划 协方差函数 高程异常 高程拟合 大地高 正常高 |
Calculation of Covariance Function Based on Genetic Programming and Its Application in GPS Height Fitting |
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| JIN Baoping,YUE Dongjie,LI Chengren.Calculation of Covariance Function Based on Genetic Programming and Its Application in GPS Height Fitting[J].Journal of Zhengzhou Institute of Surveying and Mapping,2012(1):16-19. |
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| Authors: | JIN Baoping YUE Dongjie LI Chengren |
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| Institution: | (School of Earth Sciences and Engineering,Hohai University,Nanjing 210098,China) |
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| Abstract: | In GPS elevation fitting using least squares collocation,the determination of covariance function is directly related to the fitting accuracy.The fitting of the covariance function using the theory of genetic programming in the situation that the specific form of covariance function wouldn’t be known in advance was put forward.The feasibility of using genetic programming in covariance function fitting was proved through the experiment. |
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| Keywords: | least squares collocation genetic programming covariance function height anomaly height fitting geodetic height normal height |
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