基于神经网络的GPS水准方法的研究与分析

摘要

分别将BP网络和RBF神经网络应用于GPS水准高程拟合研究，在此基础上，选择某一地区的GPS水准实测数据进行了高程拟合实验，并将得到的最后精度进行了对比分析，得出基于BP神经网络模型在GPS高程异常拟合中具有较高的精度，并提出科学建议。%The paper adopts the BP network and RBF neural network in the height fitting research of GPS level, selects the GPS level' s measured data to undertake the height fitting test in some area, undertakes the comparative analysis of the final accuracy, concludes the BP neural network model has better accuracy in the GPS height abnormity fitting, and puts forward the scientific suggestion.