In this paper, a method for converting GPS height to normal one by means of support vector machine is proposed, and compared with the methods of neural network, polynomial fitting etc.
结合GPS测量和水准测量资料，利用支持向量机方法对GPS高程进行了转换，并与神经网络和多项式拟合等拟合的结果进行了比较，得出了一些有益的结论。
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。
Generally, under the case of enough amounts and evenly distributed of coincident points, the accuracy of GPS height fitting can meet the requirement of the fourth order leveling network.
一般在重合点数量充足且分布均匀的情况下，GPS高程拟合的精度可达到四等水准网的精度要求。
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。
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。
The establishment of 3rd GPS network of Cangyuan county is introduced, such as network planning, data processing method and actual application of height fitting.
本文介绍了沧源县三等GPS网的概况、布网方案、数据处理方法，讲述了GPS高程拟合在该网的实际运用。
In final, the height accuracy of the GPS monitoring network reached millimeter level.
最终GPS监测网达到了毫米级的高程精度。
Based on these formulas, mathematical models are proposed for solving the normal height in GPS network concerning terrain undulation.
在此基础上建立了顾及地形影响的GPS正常高求解的数学模型。
Several methods to estimate height anomaly of GPS network are discussed.
对几种估算GPS测区高程异常的方法进行了讨论和分析。
Several methods to estimate height anomaly of GPS network are discussed.
对几种估算GPS测区高程异常的方法进行了讨论和分析。
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