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冲击动力学反问题及其反演方法综述
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  • 英文篇名:Survey on Inverse Problem and Its Inversion Methods of Impact Dynamics
  • 作者:孟卓
  • 英文作者:MENG Zhuo;College of Mechanical Engineering,Xi'an Aeronautical University;
  • 关键词:冲击动力学 ; 反问题 ; 反演方法 ; 数值优化法
  • 英文关键词:impact dynamics;;inverse problem;;inversion methods;;numerical optimization method
  • 中文刊名:KXJS
  • 英文刊名:Science Technology and Engineering
  • 机构:西安航空学院机械工程学院;
  • 出版日期:2019-02-08
  • 出版单位:科学技术与工程
  • 年:2019
  • 期:v.19;No.473
  • 基金:西安航空学院科研基金(2015KY213);; 陕西省自然科学基金(2018JQ1067)资助
  • 语种:中文;
  • 页:KXJS201904001
  • 页数:8
  • CN:04
  • ISSN:11-4688/T
  • 分类号:6-13
摘要
冲击动力学的三要素(激励、结构及响应)相互关联,构成一个封闭系统,形成了完整的力学、数学模型。根据工程问题设定条件的不同,对应于这三要素的不同组合方式,产生了冲击动力学的正、反两类问题。近年来,冲击动力学反问题成为工程实践应用的热点问题,其各种反演方法也是未来力学领域的重要研究方向。根据冲击动力学问题的不同模型及观测数据的不同性质,对冲击动力学反问题的定义进行了归纳和总结,对其不适定性及非线性等工程应用中的瓶颈问题进行了重新认识和分析。在此基础上,介绍了求解冲击动力学反问题的理论方法和数值方法,结合智能计算方法,对各种数值反演方法进行了评述;尤其对各种优化反演方法的适用范围及优劣进行了论述,为冲击动力学反问题求解提供有益参考。
        A closed system was established by the three factors( excitation,structure and response) of impact dynamics,which were related to each other. Then a completed mechanical and mathematical model was also formed. According to the different setting conditions of engineering problems and corresponding to the different combination of these three factors,two types of problems on impact dynamics were produced: the positive problem and the inverse problem. In recent years,the inverse problem of impact dynamics was a hot issue in engineering field,and its inversion methods were also the significant research direction of mechanics in future. Based on different models and properties of observation data in impact dynamics problems,the definition of inverse problem of impact dynamics and re-recognize the ill-posed and nonlinearity of inverse problem which were the bottle-neck in engineering practice were summarized. On this basis,various inversion methods about impact dynamics were introduced,including many theoretical solutions and numerical methods. Combining with the intelligent calculation methods,these numerical methods were classified and commented. The research on inverse problem of impact dynamics and the applications of the inversion method are prospected in engineering practice.
引文
1 Pyatkov S G,Samkov M L. Solvability of some inverse problems for the nonstationary heat-and-mass-transfer system[J]. Journal of Mathematical Analysis and Applications,2017,446(2):1449-1465
    2 Calvetti D,Morigi S,Reichel L,et al. Tikhonov regularization and the L-curve for large discrete ill-posed problems[J]. Journal of Computational and Applied Mathematics,2000,123(1-2):423-446
    3 Shidfar A,Damirchi J,Reihani P. An stable numerical algorithm for identifying the solution of an inverse problem[J]. Applied Mathematics and Computation,2007,190(1):231-236
    4 Elyas S,Ahmad J. An inverse problem of identifying the control function in two and three-dimensional parabolic equations through the spectral meshless radial point interpolation[J]. Applied Mathematics and Computation,2018,325(5):82-101
    5 苏超伟.偏微分方程逆问题的数值解法及其应用[M].西安:西北工业大学出版社,1995:8-25Su Chaowei. Numerical methods for inverse problems of partial differential equations and their applications[M]. Xi'an:Northwestern Polytechnical University Press,1995:8-25
    6 Suliman M A,Ballal T,Al Naffouri T Y. Perturbation-based regularization for signal estimation in linear discrete ill-posed problems[J].Signal Processing,2018,152(11):35-46
    7 Barra L P S,Telles J C F. A geometric inverse problem identification procedure for detection of cavities[J]. Engineering Analysis with Boundary Elements,2013,37(11):1401-1407
    8 Gaudreau P,Hayami K,Aoki Y,et al. Improvements to the cluster Newton method for under determined inverse problems[J]. Journal of Computational and Applied Mathematics,2015,28:122-141
    9 刘家琦,刘克安,刘维国,等.微分方程反演声阻抗剖面[J].地球物理学报,1994,37(1):101-107Liu Jiaqi,Liu Ke'an,Liu Weiguo,et al. The differential equation inversion of acoustic impedance profiles[J]. Chinese Journal of Geophysics,1994,37(1):101-107
    10 刘继军.不适定问题的正则化方法及其应用[M].北京:科学出版社,2005:12-30Liu Jijun. Regularization method for ill-posed problem and its application[M]. Beijing:Science Press,2005:12-30
    11 Parida S S,Sett K,Singla P. An efficient PDE-constrained stochastic inverse algorithm for probabilistic geotechnical site characterization using geophysical measurements[J]. Soil Dynamics and Earthquake Engineering,2018,109(6):132-149
    12 Clermont G,Zenker S. The inverse problem in mathematical biology[J]. Mathematical Biosciences,2015,260:11-15
    13 冯长强,华一新,孙晨,等.基于并行模拟退火算法的陆地划界线自动生成方法[J].武汉大学学报(信息科学版),2017,42(7):950-955Feng Changqiang,Hua Yixin,Sun Chen,et al. Automatic generation of land delimitation line based on parallel simulated annealing algorithm[J]. Geomatics and Information Science of Wuhan University,2017,42(7):950-955
    14 王纪程,陈祖斌,江海宇,等.基于极快速模拟退火与网格逐次剖分的微地震定位算法[J].科学技术与工程,2017,17(33):248-252Wang Jicheng,Chen Zubin,Jiang Haiyu,et al. Based on successive very fast simulated annealing and the grid subdivision of micro seismic localization algorithm research[J]. Science Technology and Engineering,2017,17(33):248-252
    15 杨慧珠,张远高,鲁小蓉.动力学的反问题-固体力学发展趋势[M].北京:北京理工大学出版社,1995:55-73Yang Zhuhui,Zhang Yuangao,Lu Xiaorong. Inverse of dynamicsadvances of solid mechanics[M]. Beijing:Beijing Institute of Technology Press,1995:55-73
    16 肖庭延,于慎根,王彦飞.反问题的数值解法[M].北京:科学出版社,2003:18-44Xiao Tingyan,Yu Shengen,Wang Yanfei. Numerical solution of inverse problem[M]. Beijing:Science Press,2003:18-44
    17 张志飞,陈思,徐中明,等.双面声阵列波束形成的正则化改进算法[J].声学学报,2017,42(2):178-185Zhang Zhifei,Chen Si,Xu Zhongming,et al. Improved regularization algorithm of double layer antenna beamforming[J]. Acta Acustica,2017,42(2):178-185
    18 席如冰.变分正则化模型与算法及其在多通道图像重构中的应用[D].长沙:国防科技大学,2015Xi Rubing. Study on vibrational regularization models and algorithms with application to multichannel image restoration[D]. Changsha:National University of Defense Technology,2015
    19 王彦飞,肖庭延.二维带限信号正则重构和外推的快速算法[J].信号处理,2001,17(5):229-235Wang Yanfei,Xiao Tingyan. A fast algorithm for the regularization reconstruction and extrapolation of 2-D band-limited signals[J].Signal Processing,2001,17(5):429-435
    20 Braun N O,Pullin D I,Meiron D I. Regularization method for large eddy simulations of shock-turbulence interactions[J]. Journal of Computational Physics,2018,361(5):231-246
    21 Ma Q H,Wang Y F. Iterative implementation of the adaptive regularization yields optimality[J]. Science in China(A),2005,48(4):485-492
    22 Ma Y,Prakash P,Deiveegan A. Generalized Tikhonov methods for an inverse source problem of the time-fractional diffusion equation[J]. Chaos,Solitons&Fractals,2018,108(3):39-48
    23 尤琼.基于小波有限元与一阶Tikhonov正则化的移动车载识别研究[D].南京:南京航空航天大学,2011You Qiong. Moving force identification based on wavelet finite element method and first order Tikhonov regularization[D]. Nanjing:Nanjing University of Aeronautics and Astronautics,2011
    24 Yang F,Fu C L,Li X X. The method of simplified Tikhonov regularization for a time-fractional inverse diffusion problem[J]. Mathematics and Computers in Simulation,2018,144:219-234
    25 Yurko V. Inverse problems for second order integro-differential operators[J]. Applied Mathematics Letters,2017,74(12):1-6
    26 高伟.基于正则化的动态载荷识别方法及应用研究[D].哈尔滨:哈尔滨工业大学,2016Gao Wei. Research on dynamic load identification method and application based on regularization[D]. Harbin:Harbin Institute of Technology,2016
    27 栾文贵.地球物理中的反问题与不适定问题[J].地球物理学报,1988,31(1):108-117Luan Wengui. Inverse problems and ill-posed problems in Geophysics[J]. Chinese Journal of Geophysics,1988,31(1):108-117
    28 Liu C S. Optimally scaled vector regularization method to solve illposed linear problems[J]. Applied Mathematics and Computation,2012,218(21):10602-10616
    29 Tsien D S,Chen Y M. A pulse-spectrum technique for remote sensing of stratified media[J]. Radio Science,1987,13(5):775-783
    30 Han B,Feng G F,Liu J Q. A widely convergent generalized pulsespectrum technique for the inversion of two-dimensional acoustic wave equation[J]. Applied Mathematics and Computation,2006,172(1):406-420
    31 Chen Y M,Liu J Q. A numerical algorithm for solving inverse problems of two-dimensional wave equations[J]. SIAM Journal on Scientific and Statistical Computing,1983,50(2):193-208
    32 王家映,地球物理反演理论[M].北京:高等教育出版社,2002:15-47Wang Jiaying. Inverse theory in geophysics[M]. Beijing:Higher Education Press,2002:15-47
    33 袁亚湘,孙文瑜.最优化理论与方法[M].北京:科学出版社,1997:32-89Yuan Yaxiang,Sun Wenyu. Optimized theory and methods[M].Beijing:Science Press,1997:32-89
    34 戴或虹,袁亚湘.非线性共轭梯度法[M].上海:上海科学技术出版社,2000:43-76Dai Huohong,Yuan Yaxiang. Nonlinear conjugate gradient method[M]. Shanghai:Shanghai Scientific and Technical Publishers,2000:43-76
    35 李志勇.储层物性参数地震叠前反演的确定性搜索方法[D].成都:电子科技大学,2017Li Zhiyong. Deterministic searching methods of prestack seimic inversion for petrophysical parameters[D]. Chengdu:University of Electronic Science and Technology,2017
    36 Wang T H,Huang D N,Ma G Q,et al. Improved preconditioned conjugate gradient algorithm and application in 3D inversion of gravity-gradiometry data[J]. Applied Geophysics,2017,14(2):301-313
    37 杨文采.地球物理反演的遗传算法[J].石油物探,1995,34(1):116-122Yang Wencai. Genetic algorithm for the geophysical inversion[J].Geophysical Prospecting for Petroleum,1995,34(1):116-122
    38 崔璟.火灾后大跨空间结构受力性能评估方法研究及应用[D].南京:东南大学,2016Cui Jing. Research and application on mechanical behavior and evaluation method of post-fire spatial structure[D]. Nanjing:Southeast University,2016
    39 刘维国,金大勇.双相介质中空隙率反演的一种方法[J].哈尔滨工业大学学报,1998,30(4):1-3Liu Weiguo,Jin Dayong. An approach to inverse porosity in a fluidsaturated porous solid[J]. Journal of Harbin Institute of Technology,1998,30(4):1-3
    40 王家映.地球物理资料非线性反演方法讲座(二):蒙特卡洛法[J].工程地球物理学报,2007,4(2):81-85Wang Jiaying. Lecture on non-linear inverse methods in geophysics(second):Monte Carlo method[J]. Chinese Journal of Engineering Geophysics,2007,4(2):81-85
    41 周明,孙树栋.遗传算法原理及应用[M].北京:国防工业出版社,1999:23-71Zhou Ming,Sun Shudong. Principle and application of genetic glgorithm[M]. Beijing:National Defence Industry Press,1999:23-71
    42 刘勇,康立山,陈流屏.非数值并行算法——遗传算法[M].北京:科学出版社,1998Liu Yong,Kang Lishan,Chen Liuping. A parallel non-numerical algorithm with genetic algorithm[M]. Beijing:Science Press,1998
    43 Astroza R,Nguyen L T,Nestorovic T. Finite element model updating using simulated annealing hybridized with unscented Kalman filter[J]. Computers&Structures,2016,177(12):176-191
    44 Zeng C,Xia J H,Miller R D,et al. Feasibility of waveform inversion of Rayleigh waves for shallow shear-wave velocity using a genetic algorithm[J]. Journal of Applied Geophysics,2011,75(4):648-655
    45 刘爱军,杨育,李斐,等.混沌模拟退火粒子群优化算法研究及应用[J].浙江大学学报(工学版),2013,47(10):1722-1730Liu Aijun,Yang Yu,Li Fei,et al. Chaotic simulated annealing particle swarm optimization algorithm research and its application[J]. Journal of Zhejiang University(Engineering Science),2013,47(10):1722-1730
    46 姚姚.地球物理非线性反演模拟退火法的改进[J].地球物理学报,1995,38(5):643-650Yao Yao. Improvement on nonlinear geophysical inversion simulated annealing[J]. Chinese Journal of Geophysics,1995,38(5):643-650
    47 杨文采.非线性地球物理反演讲座之四——非线性地震反演方法的补充及比较[J].石油物探,1995,34(4):109-116Yang Wencai. Lecture on nonlinear inverse geophysics inversion(fourth):Addition and comparison of nonlinear seismic inversion methods[J]. Geophysical Prospecting for Petroleum,1995,34(4):109-116
    48 赵明旺.基于遗传算法和最速下降法的函数优化混合数值算法[J].系统工程理论与实践,1997(7):59-64Zhao Mingwang. A hybrid numerical algorithm for function optimization based on genetic algorithm and steepest decent algorithm[J].System Engineering Theory&Practice,1997(7):59-64
    49 吴志健,演化优化及其在微分方程反问题中的应用[D].武汉:武汉大学,2004Wu Zhijian. Evolutionary optimization and its applications in inverse problems of differential equations[D]. Wuhan:WuHan University,2004
    50 张晔,马云云.光栅形状反演的数值方法[J].吉林大学学报(理学版),2012,50(4):654-662Zhang Ye,Ma Yunyun. Numerical method to reconstruction of grating[J]. Journal of Jilin University(Science Edition),2012,50(4):654-662
    51 Bleistein N,Cohen J K. Progress on a mathematical inversion technique for nondestructive evaluation[J]. Wave Motion,1980,2(1):75-81
    52 Devaney A J. Geophysics diffraction tomography in layered background[J]. Wave Motion,1991,14:243-265
    53 黄雪源.基于波动方程的地震层析成像应用研究[D].北京:清华大学,2016Huang Xueyuan. Wave equation based seismic tomography method and their applications[D]. Beijing:Tsinghua University,2016
    54 张新明,刘克安,刘家琦.流体饱和多孔隙介质二维弹性波方程正演模拟的小波有限元法[J].地球物理学报,2005,48(5):1156-1166Zhang Xinming,Liu Ke'an,Liu Jiaqi. A wavelet finite element method for the 2-D wave equation in fluid-saturated porous media[J]. Chinese Journal of Geophysics,2005,48(5):1156-1166
    55 刘迎曦,王登刚,张家良,等.材料物性识别的梯度正则化方法[J].计算力学学报,2000,17(1):69-75Liu Yingxi,Wang Denggang,Zhang Jialiang,et al. Identification of material parameters with gradient-regularization method[J]. Chinese Jounal of Computation Mechanics,2000,17(1):69-75
    56 王登刚,刘迎曦,李守巨.二维稳态导热反问题的正则化解法[J].吉林大学学报(理学版),2000(2):56-60Wang Denggang,Liu Yingxi,Li Shouju. Regularization procedure for two-dimensional Steady heat Conduction inverse problems[J].Jounal of Jilin University(Science Edition),2000(2):56-60
    57 王登刚,刘迎曦,李守巨.弹性力学非线性反演方法概述[J].力学进展,2003,3(2):166-174Wang Denggang,Liu Yingxi,Li Shouju. Survey on nonlinear inversion methods in elastomechanics[J]. Advances in Mechanics,2003,3(2):166-174
    58 王登刚,刘迎曦,李守巨,等.非线性二维稳态导热反问题的一种数值解法[J].西安交通大学学报,2000,34(11):49-52Wang Denggang,Liu Yingxi,Li Shouju,et al. Two dimensional numerical solution for nonlinear inverse steady heat conduction inverse steady heat conduction[J]. Journal of Xi'an Jiaotong University,2000,34(11):49-52
    59 范祯祥,郑仙钟.地震波参数反演与应用技术[M].郑州:河南科技大学出版社,1998:103-152Fan Zhenxiang,Zheng Xianzhong. Seismic wave parametric inversion and its applications[M]. Zhengzhou:Henan University of Science and Technology Press,1998:103-152
    60 王兴泰,李晓芹,孙仁国.电测深曲线的遗传算法反演[J].地球物理学报,1996,39(2):279-284Wang Xingtai,Li Xiaoqin,Sun Renguo. Inversion methods with genetic algorithm of electric sounding curve[J]. Cinnese Journal of Engineering Geophysics,1996,39(2):279-284
    61 谭力川.川滇地区地震动衰减关系中震源谱与衰减参数反演的改进[D].哈尔滨:哈尔滨工业大学,2015Tan Lichuan. Improvement in inversion of source spectrum and attenuation parameters for ground motion attenuation in Sichuan and Yunnan region[D]. Harbin:Harbin Institute of Technology,2015
    62 白俊雨.多智能体遗传算法在地球物理反演中的应用研究[D].成都:成都理工大学,2010Bai Junyu. Inversion of geophysical parameters using multi-agent genetic algorithm[D]. Chengdu:Chengdu University of Technology,2010
    63 熊盛武,李元香,康立山,等.抛物型方程的演化参数识别方法[J].计算物理,2000,17(5):511-517Xiong Shengwu,Li Yuanxiang, Kang Lishan, et al. Parameter identification problem for parabolic equations using evolutionary algorithms[J]. Chinese Journal of Computational Physics,2000,17(5):511-517
    64 Feng X T,Yang C X. Genetic evolution of nonlinear material conscitutive models[J]. Computer Methods in Applied Mechanics and Engineering,2001,190(45):5957-5973
    65 张文修,梁怡.遗传算法的数学基础[M].西安:西安交通大学,2001:78-116Zhang Wenxiu,Liang Yi. Mathematical basis of genetic algorithm[M]. Xi'an:Xi'an Jiaotong University Press,2001:78-116
    66 刘玉,王贤敏,胡祥云.反射地震层析成像的现状分析[J].工程地球物理学报,2014,11(2):208-217Liu Yu,Wang Xianming,Hu Xiangyun. Analysis of seimic reflection tomography[J]. Chinese Journal of Engineering Geophysics,2014,11(2):208-217
    67 徐宗本,陈志平,章祥荪.遗传算法基础理论研究的新近发展[J].数学进展,2000,29(2):97-114Xu Zongben,Chen Zhiping,Zhang Xiangsun. Theoretical development on genetic algorithms:A review[J]. Advances in Mathematics,2000,29(2):97-114
    68 陈国良,王煦发,庄镇泉,等.遗传算法及其应用[M].北京:人民邮电出版社,1996:28-97Chen Guoliang,Wang Xufa,Zhuang Zhenquan,et al. Genetic algorithm and its application[M]. Beijing:Posts and Telecom Press,1996:28-97
    69 王佩艳,赵晨,耿小亮,等.基于改进自适应遗传算法的层合板铺层顺序优化方法[J].科学技术与工程,2018,18(6):336-340Wang Peiyan,Zhao Chen,Geng Xiaoliang,et al. Stacking sequence optimization of composite laminates based on a modified adaptive genetic algorithm[J]. Science Technology and Engineering,2018,18(6):336-340
    70 何险峰,周家驹.遗传算法及其在化学化工中的应用[J].化学进展,1998,10(3):312-318He Xianfeng,Zhou Jiaju. Genetic algorithms and their applications in chemistry and chemical engineering[J]. Progress in Chemistry,1998,10(3):312-318
    71 廖良才,张琦.基于混合遗传算法和关键链的多资源多项目进度计划优化[J].科学技术与工程,2014,14(6):190-195Liao Liangcai,Zhang Qi. Multi-resource and multi-project schedule optimization based on a hybrid genetic algorithm and critical chain method[J]. Science Technology and Engineering,2014,14(6):190-195
    72 程知,何枫,靖旭,等.改进的差分光柱像运动激光雷达的湍流廓线反演方法[J].光学学报,2016,36(4):41-49Cheng Zhi,He Feng,Jing Xu,et al. Improved retrieval method of turbulence profile from differential column image motion light detection and ranging[J]. Acta Optica Sinica,2016,36(4):41-49
    73 孙道恒,胡俏.力学反问题的神经网络分析方法[J].计算结构力学及其应用,1996,13(3):308-312Sun Daoheng,Hu Qiao. Inverse analysis of mechanics based on neural networks[J]. Computational Structural Mechanics and Applications,1996,13(3):308-312
    74 李琳琳,杨国军,赵长安.基于遗传算法学习的一类多层神经网络[J].哈尔滨理工大学学报,2000,5(1):56-60Li Linlin,Yang Guojun,Zhao Chang'an. Learning a class of multilayer neural network based on genetic algorithm[J]. Journal of Harbin University of Science and Technology,2000,5(1):56-60
    75 焦李成.神经网络系统理论[M].西安:西安电子科技大学出版社,1990:31-75Jiao Licheng. The neural network theory[M]. Xi'an:Xidian University Press,1990:31-75
    76 白金泽.基于神经网络方法的鸟撞飞机风挡反问题研究[D].西安:西北工业大学,2003Bai Jinze. Inverse issue study of bird-impact to aircraft windshield based on neural network method[D]. Xi'an:Northwestern Polytechnical University,2003
    77 尚钢,吴代华.基于神经网络对扁壳结构载荷位置识别问题的研究[J].固体力学学报,2007,22(1):61-63Shang Gang,Wu Daihua. Research on the identification of load location of shallow shell structures based on neural network[J].Chanese Journal of Solid Mrchanics,2001,22(1):61-63
    78 张方,朱德懋.基于神经网络模型的动载荷识别[J].振动工程学报,1997,10(2):156-162Zhang Fang,Zhu Demao. The dynamic load identification research based on neural network model[J]. Journal of Vibration Engineering,1997,10(2):156-162
    79 刘舒考,刘雯林,郑晓东,等.同伦神经优化理论及其在地震反演中的应用[J].石油地球物理勘探,1998,33(6):758-768Liu Shukao,Liu Wenlin,Zheng Xiaodong,et al. Homotopic neural optimization theory and its application to seismic inversion[J]. Oil Geophysical Prospecting,1998,33(6):758-768
    80 王磊,郭嗣琮.线性模糊微分系统的同伦摄动法[J].计算机工程与应用,2012,48(32):30-33Wang Lei,Guo Sicong. Homotopy perturbation method for linear fuzzy differential systems[J]. Computer Engineering and Applications,2012,48(32):30-33
    81 王西文,刘全新,赵应成,等.小波域的波阻抗反演方法[J].石油地球物理勘探,2000,35(1):89-96Wang Xiwen,Liu Quanxin,Zhao Yingcheng,et al. A method for wave impedance inversion in wavelet domain[J]. Oil Geophysical Prospecting,2000,35(1):89-96
    82 孟鸿鹰,刘贵忠.小波变换多尺度地震波形反演[J].地球物理学报,1999,42(2):241-248Meng Hongying,Liu Guizhong. Multiscale seismic waveform inversion by wavelet transform[J]. Chinese Journal of Geophysics,1999,42(2):241-248
    83 张慧燕,钱绍新.多道小波波阻抗反演[J].石油地球物理勘探,1998,33(4):89-96Zhang Huiyan,Qian Shaoxin. Multitrace wave impedance inversion using wavelet transform[J]. Oil Geophysical Prospecting,1998,33(4):563-569
    84 周彤,冯宏伟.小波变换地震反演方法[J].西北大学学报(自然科学版),1996,26(3):190-192Zhou Tong,Feng Hongwei. Wavelet transform seismic inversion method[J]. Journal of Northwest University(Natural Science Edition),1996,26(3):190-192
    85 Lian S J,Yuan S Y,Wang G C,et al. Enhancing low-wavenumber components of full-waveform inversion using an improved wavefield decomposition method in the time-space domain[J]. Journal of Applied Geophysics,2018,157:10-22
    86 李世雄,刘家琦.小波变换和反演数学基础[M].北京:地质出版社,1994:17-65Li Shixiong,Liu Jiaqi. Wavelet transform and mathematical basis of inversion[M]. Beijing:Geological Publishing House,1994:17-65
    87 朱国栋,林辉,王琛.一类带有广义不确定性非线性系统的自适应模糊反演控制[J].科学技术与工程,2012,12(15):3620-3625Zhu Guodong,Lin Hui,Wang Chen. Adaptive fuzzy buck-stepping control of a class of nonlinear systems with bounded uncertainties[J]. Science Technology and Engineering,2012,12(15):3620-3625
    88 姚姚.蒙特卡洛非线性反演方法及应用[M].北京:冶金工业出版社,1997:35-78Yao Yao. Nonlinear inversion method and application of Monte Carlo method[M]. Beijing:Metallurgy Industry Press,1997:35-78
    89 闵涛,周宏宇,寇婷,等.最佳摄动量法在一维波动方程参数反演中的应用[J].西安理工大学学报,2005,21(4):347-350Min Tao,Zhou Hongyu,Kou Ting,et al. The best perturbation method for the parameter inverse problem of one-dimensional wave equation[J]. Journal of Xi'an University of Technology,2005,21(4):347-350
    90 彭亚绵,杨爱民,龚佃选,等.改进的最佳摄动量法及在反问题中的应用[J].数学的实践与认识,2011,41(5):186-189Peng Yamian,Yang Aimin,Gong Dianxuan,et al. The improved best disturbed iteration method and application of inverse problem[J]. Mathematics in Practice and Theory,2011,41(5):186-189
    91 卢宏鹏.二维抛物型方程参数反演的迭代算法研究[D].西安:西安理工大学,2010Lu Hongpeng. Research on parameter inversion model for two-dimensional parabolic equation using the iterative algorithm[D].Xi'an:Xi'an University of Technology,2010
    92 杨卫峰.非线性偏微分方程的直线解法及反问题研究[D].西安:西安理工大学,2013Yang Weifeng. Line methods for nonlinear partial differential equations and research on inverse problem[D]. Xi'an:Xi'an University of Technology,2013
    93 汤笑笑,李介谷.基于小波神经网络的系统辨识方法[J].信息与控制,1998,27(4):277-288Tang Xiaoxiao,Li Jiegu. Wavelet neural networks based system identification[J]. Information and Control,1998,27(4):277-281
    94 陈逊,任雪梅.基于小波算法和神经网络相结合的系统辨识方法[J].火炮发射与控制学报,2004(3):36-38Chen Xun,Ren Xuemei. System identification based upon combination of wavelet and neural network[J]. Journal of Gun Launch&Control,2004(3):36-38
    95 钱建良,杨光,刘家琦.二维弹性波方程反问题的脉冲谱——多重网格迭代算法[J].哈尔滨工业大学学报,1996,28(1):6-12Qian Jianliang,Yang Guang,Liu Jiaqi. PST-MGM algorithm for the inverse problem of two-dimensional elastic wave equation[J]. Journal of Harbin Institute of technology[J]. 1996,28(1):6-12

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