There are many conversion models for GPS height conversion,such as polynomial,BP neural network and multi-quadrics fitting.
常用GPS高程转换方法有多项式、BP神经网络和多面函数拟合法等,他们各有特点和适用范围。
参考来源 - 基于最小二乘支持向量机的区域GPS高程转换组合·2,447,543篇论文数据，部分数据来源于NoteExpress
In this paper, the fifing method which stimulates the Geoid using quadric polynomial, BP network and RBF network are provided for the GPS height conversion.
本文采用二次曲面拟合、BP网络和RBF网络进行了GPS高程转换，并在网络结构改进等方面作了分析。
The paper discusses above problems by practice, and draws some conclusions about the network configuration of BP neural network applied in GPS height conversion.
本文结合实例分析了上述问题，从而得出了BP神经网络用于GPS高程转换时网络配置问题的一些相关结论。
The supersaturation with respect to ice can be used to diagnose the vertical distribution of ice-water conversion area, then determine the seeding height.
其中，冰面过饱和度可诊断“冰水转化区”的垂直分布，进而为确定合适的播撒高度提供判据。
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