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Genetic Nelder-Mead neural network algorithm for fault parameter inversion using GPS data

Leyang Wang Ranran Xu Fengbin Yu

大地测量与地球动力学：英文版2022，Vol.13Issue(4)：P.386-398,13.

大地测量与地球动力学：英文版2022，Vol.13Issue(4)：P.386-398,13.DOI:10.1016/j.geog.2021.12.005

Genetic Nelder-Mead neural network algorithm for fault parameter inversion using GPS data

Leyang Wang ¹Ranran Xu ²Fengbin Yu³

作者信息

1. Faculty of Geomatics,East China University of Technology,Nanchang 330013,China Key Laboratory of Mine Environmental Monitoring and Improving Around Poyang Lake,Ministry of Natural Resources,Nanchang 330013,China
2. Faculty of Geomatics,East China University of Technology,Nanchang 330013,China Faculty of Industrial Safety and Occupational Health,Jiangsu College of Safety Technology,Xuzhou 221000,China
3. BGI Engineering Consultants Ltd.,Beijing 100038,China
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摘要

关键词

Fault parameter inversion/Genetic algorithm/Nelder-Mead simplex algorithm/Neural network algorithm

分类

天文与地球科学

引用本文复制引用

Leyang Wang,Ranran Xu,Fengbin Yu..Genetic Nelder-Mead neural network algorithm for fault parameter inversion using GPS data[J].大地测量与地球动力学：英文版,2022,13(4):P.386-398,13.

基金项目

This manuscript is supported by the National Natural Science Foundation of China(No.42174011,41874001 and 42174011). （No.42174011,41874001 and 42174011）

大地测量与地球动力学：英文版

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ISSN：1674-9847

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