The Discussion on BP Neural Network for GPS Height Transformation
BP neural network is a new method to convert GPS height in recent year. This method has higher precision, which is superior to quadric surface fitting in some cases. It has certain practical value for the normal height obtained from the method and can meet various large-scale-map requirements. However, there are some problems, such as how to determine the number of the hidden layers for a network and the unit for each layer and the affect of accuracy bringing about by the quality of the samples to study etc. Through analyzing the problems combined with the example, some useful conclusion is obtained in this paper.
neural network GPS height normal high abnormal height elevation conversion
LiangCai WU TieSheng WANG Lei YANG
East China Institute of Technology College of Surveying and Mapping Fuzhou,China North China University of Water Resources and Electric Power Zhengzhou,China East China Institute of Techno ogy College of Surveying and Mapping Fuzhou,China
国际会议
太原
英文
196-199
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）