大地测量与地球动力学2013，Vol.33Issue(1)：150-152,3.
鄱阳湖湖区似大地水准面精化研究
RESEARCH ON REFINEMENT OF REGIONAL QUASI-GEOID OF POYANG LAKE
摘要
Abstract
This paper proposes the BP neural network method which is based on particle swarm optimization algorithm to refine the regional quasi-geoid, it by selecting the neural network weights and thresholds reasonably can effectively avoid the defect that the network slow convergence and easily trapped into the local optimal. This method is verified through the data of Poyang Lake and the results show that PSO-BP neural network model can still obtain a good effect in the compared with the two surface partition fitting method absence of considering terrain conditions, which is selected according to the height anomaly variation.关键词
鄱阳湖/GPS/似大地水准面/PSO/BP神经网络Key words
Poyang lake/GPS/quasi-geoid/PS0(Particle Swam Oplimization)/BP neural network分类
天文与地球科学引用本文复制引用
彭祥国,万先斌,王海龙..鄱阳湖湖区似大地水准面精化研究[J].大地测量与地球动力学,2013,33(1):150-152,3.
