全球定位系统2016，Vol.41Issue(5)：99-103,5.DOI:10.13442/j.gnss.1008-9268.2016.05.020
几种改进的BP神经网络在GPS高程拟合中的应用比较
Comparison of Several Improved BP Neural Network in GPS Height Fitting
魏宗海1
作者信息
- 1. 河北省地矿局第三地质大队，张家口 075000
- 折叠
摘要
Abstract
In order to improve the efficiency and accuracy of GPS height fitting.In this paper,the use of several common algorithms of standard BP neural network was improved, combined with the control network measurement examples,respectively using the match precision and match accuracy,the testing step size and running time four indicators,evalu-ates the results of fitting.The results show that the improved algorithm design can effective-ly improve the fitting precision and efficiency,in the actual engineering practice,the project can according to the specific fitting to take appropriate algorithm to improve the BP neural network.关键词
BP神经网络/GPS高程拟合/高程异常/算法改进Key words
BP neural network/GPS heightfitting/height anomaly/algorithm improve-ment分类
天文与地球科学引用本文复制引用
魏宗海..几种改进的BP神经网络在GPS高程拟合中的应用比较[J].全球定位系统,2016,41(5):99-103,5.
