典型文献
Genetic Nelder-Mead neural network algorithm for fault parameter inversion using GPS data
文献摘要：
The traditional genetic algorithm(GA)has unstable inversion results and is easy to fall into the local optimum when inverting fault parameters.Therefore,this article considers the combination of GA with other non-linear algorithms in order to improve the inversion precision of GA.This paper proposes a genetic Nelder-Mead neural network algorithm(GNMNNA).This algorithm uses a neural network al-gorithm(NNA)to optimize the global search ability of GA.At the same time,the simplex algorithm is used to optimize the local search capability of the GA.Through numerical examples,the stability of the inversion algorithm under different strategies is explored.The experimental results show that the proposed GNMNNA has stronger inversion stability and higher precision compared with the existing algorithms.The effectiveness of GNMNNA is verified by the Bodrum-Kos earthquake and Monte Cristo Range earthquake.The experimental results show that GNMNNA is superior to GA and NNA in both inversion precision and computational stability.Therefore,GNMNNA has greater application potential in complex earthquake environment.
文献关键词：
中图分类号：
作者姓名：
Leyang Wang;Ranran Xu;Fengbin Yu
作者机构：
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;Faculty of Industrial Safety and Occupational Health,Jiangsu College of Safety Technology,Xuzhou 221000,China;BGI Engineering Consultants Ltd.,Beijing 100038,China
文献出处：
引用格式：
[1]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(04):386-398
A类：
GNMNNA,Bodrum,Cristo
B类：
Genetic,Nelder,Mead,neural,network,fault,inversion,using,GPS,data,traditional,genetic,GA,has,unstable,results,easy,fall,into,local,optimum,when,inverting,parameters,Therefore,this,article,considers,combination,other,linear,algorithms,order,improve,precision,This,paper,proposes,uses,optimize,global,search,At,same,simplex,used,capability,Through,numerical,examples,stability,under,different,strategies,explored,experimental,show,that,proposed,stronger,higher,compared,existing,effectiveness,verified,by,Kos,earthquake,Monte,Range,superior,both,computational,greater,application,potential,complex,environment
AB值：
0.466157
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