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。
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.
出处
《测绘科学技术学报》
北大核心
2012年第1期16-19,共4页
Journal of Geomatics Science and Technology
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
least squares collocation
genetic programming
covariance function
height anomaly
height fitting
geodetic height
normal height
