辽宁工程技术大学学报（自然科学版）Issue(2)：17-21,5.
整区拟合似大地水准面的 BP 神经网络方法
Study of whole fitting quasi-geoid using BP neural network method
摘要
Abstract
Due to the model error and smooth joint problem of fitting quasi-geoid using polynomial fitting method, a new method of whole fitting quasi-geoid using BP neural network was proposed in this study. Using the gravimetric quasi-geoid and GPS/leveling data in an area, the BP neural network method was compared with the whole and divisional polynomial surface fitting method. The results show that the new method could reduce the model error in the case of a bigger area and the anomalous difference between two kinds of quasi-geoids. The new method can obviously improve the inner and outer precision of fitting two kinds of quasi-geoids than the whole and divisional polynomial surface fitting method. The BP neural network is a feasible fitting method for finishing local high precise and high resolution quasi-geoid.关键词
整区拟合/似大地水准面/BP 神经网络/曲面拟合法/高程异常/GPS/水准/大地高/正常高Key words
quasi-geoid/BP neural network/height anomaly/polynomial fitting/GPS/leveling/geodetic height/normal height分类
天文与地球科学引用本文复制引用
宋雷,胡伍生..整区拟合似大地水准面的 BP 神经网络方法[J].辽宁工程技术大学学报（自然科学版）,2013,(2):17-21,5.基金项目
国家高技术研究发展计划(863)资助项目(2007AA12Z228) （863）
山东省优秀中青年科学家科研奖励基金资助项目(BS2010SF019) （BS2010SF019）
