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。
So the conversion of GPS height based on RBF neural network algorithm is feasible and effective.
由此可见，RBF神经网络方法用于转换GPS高程是可行和有效的。
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