区域地壳水平运动模型的Euler-GABP神经网络构建Regional crustal horizontal movement model based on Euler-GABP neural network
胡顺强,王坦,管雅慧,杨振宇
摘要(Abstract):
针对传统的欧拉(Euler)矢量法在具有复杂构造运动的区域地区内构建GPS速度场模型精度低的问题,该文提出了欧拉矢量法结合遗传算法(GA)和BP神经网络方法来构建区域GPS速度场。以云南区域1999—2015年间的GPS速度场为实验数据,分别使用欧拉矢量法、遗传神经网络(GABP)、欧拉矢量结合神经网络(Euler-BP)和欧拉矢量的遗传神经网络(Euler-GABP)法构建区域速度场模型。实验结果表明,相比其他3种方法,该文提出的Euler-GABP方法在构建区域GPS速度场模型是可行和有效的且精度高。
关键词(KeyWords): 欧拉矢量法;遗传算法;神经网络;速度场
基金项目(Foundation): 国家自然科学基金项目(41672192)
作者(Author): 胡顺强,王坦,管雅慧,杨振宇
DOI: 10.16251/j.cnki.1009-2307.2021.02.005
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