大地测量与地球动力学2012，Vol.32Issue(4)：103-105,110,4.
基于遗传算法优化的径向基神经网络在矿区GPS高程转换中的应用
APPLICATION OF RBF NETWORK BASED ON GENETIC ALGORITHM OPTIMIZATION TO ESTABLISH GPS HEIGHT CONVERSION MODEL IN MINING AREA
摘要
Abstract
In a mining area, the data of normal height and geodetic height are used to build model with Radial Basis Function(RBF) network based on genetic algorithm optimization. The results show that the model established by RBF network based on genetic algorithm optimization is more appropriate to achieve this transformation.关键词
高程转换/径向基神经网络/遗传算法/GPS/矿区Key words
height conversion/Radial Basis Function( RBF) network/genetic algorithm/GPS/mining area分类
天文与地球科学引用本文复制引用
任东风,徐爱功..基于遗传算法优化的径向基神经网络在矿区GPS高程转换中的应用[J].大地测量与地球动力学,2012,32(4):103-105,110,4.基金项目
辽宁省高等学校重点实验室项目(2009S049) （2009S049）
