Application of The RBF Neural Network for GPS Height Fitting in Linear Project

摘要：

This paper, working for the features of the linear projects and combined with example of highway project, uses RBF neural network model for GPS height transformation and also has a brief analysis on selection of the sample points and determination of the parameters, etc. Through the analysis of the results,it has been found that it is feasible to use the RBF neural network for GPS height fitting and the results can also meet the accuracy of the fourth-order leveling or the third-order leveling. So that, the RBF neural network model has some practical values for the GPS height transformation.

关键词： Linear projects RBF neural network GPS height Height transformation

作者: Wang Xin-zhi Chen Wei Sun Jing-ling

作者单位: School of Remote Sensing, Nanjing University of Information Science & Technology, Nanjing 210044,Chi Department of Hydraulic Engineering, Nanchang Institute of Technology, Nanchang 330099, China

会议类型: 国际会议

会议名称: 2010 International Conference on Application of Mathematics and Physics(2010国际数理科学与气象学术研讨会暨2010空间天气学研讨会 AMP2010)

会议地点: 南京

会议语种:英文

页码: 207-210

在线出版日期: 2010-05-08（万方平台首次上网日期，不代表论文的发表时间）