[1]郭春雨, 李夏炎, 王帅, 等.冰区航行船舶碎冰阻力预报数值模拟方法[J].哈尔滨工程大学学报, 2016, 37(2):145-150
GUO Chun-yu, LI Xia-yan, WANG Shuai, et al.A numerical simulation method for resistance prediction of ship inpack ice[J].Journal of Harbin Enginering University, 2016, 37(2):145-150
[3]Abkowitz M A.Measurement of hydrodynamic characteristics from ship maneuvering trials by system identification[J]. Transactions of Society of Naval Architects and Marine Engineers[J].Transactions of Society of Naval Architects and Marine Engineers, 1980, 88():283-318
[4]Luo W L, Zou Z J.Identification of response models of ship maneuvering motion using support vector machines[J].Journal of Ship Mechanics, 2007, 11(6):832-838
[5].C K?llstr?m，?str?m, Karl Johan, Identification and Modelling of Ship Dynamics, volume 7015[R]:Lund(Sweden):Identification and Modelling of Ship Dynamics, 1972
[6]Yoon H K, Rhee K P.Identification of hydrodynamic coefficients in ship maneuvering equations of motion by Estimation-Before-Modeling technique[J].Ocean Engineering, 2003, 30(18):2379-2404
[7]Haddara M R, Wang Y.Parametric identification of manoeuvring models for ships[J].International Shipbuilding Progress, 1999, 46(445):5-27
[8]Wang N, Er M J, Han M.Large Tanker Motion Model Identification Using Generalized Ellipsoidal Basis Function-Based Fuzzy Neural Networks[C].// Design Automation Conference, 1988. Proceedings. ACM/IEEE. IEEE, 1988:205-210.
[9]Hess, D，Faller, W.Simulation of Ship Maneuvers Using Recursive Neural Networks[C].Twenty-Third Symposium on Naval Hydrodynamics, National Academies Press, 2000.
[10]周志华.机器学习（Machine learning）[M]. 清华大学出版社, 2016.
ZHOU Zhi-hua.Machine Learning[M]. Tsinghua University Press.2016. (in Chinese)
[12]张心光, 邹早建.支持向量回归机不敏感因子ε对运动建模的影响[J].中国造船, 2011, 52(3):46-51
ZHANG Xin-guang, ZOU Zao-jian.The Effect of SVR Insensitive Factor on Modeling of Motion[J].SHIPBUILDING OF CHINA, 2011, 52(3):46-51
[14]Kwiatkowska M, Atkins A S, Ayas N T, et al.Integrating Knowledge-Driven and Data-Driven Approaches for the Derivation of Clinical Prediction Rules[C]// International Conference on Machine Learning and Applications, 2005. Proceedings. IEEE, 2006:171-176.
[15]Wang N, Zhu M, Li J, et al.Data-driven vs. model-driven: Fast face sketch synthesis[J][J].Neurocomputing, 2017, 257():214-221
[16]Hayes M N.Parametric identification of nonlinear stochastic systems applied to ocean vehicle dynamics[D]. Massachusetts Institute of Technology, 1971.
[17]Sutulo S, Soares C G.Offline system identification of ship manoeuvring mathematical models with a global optimization algorithm[C]// Marsim 2015: International Conference on Ship Manoeuvrability and Maritime Simulation, Newcastle University, United Kingdom, 8–11 September. 2015.
[18]朱新坚, 邵惠鹤, 张钟俊.离散化对非线性控制系统动力学行为的影响[J].信息与控制, 1996, 25(2):115-119
Zhu Xin-jian, SHAO Huihe, ZHANG Zhong-jun.The effect of discrete analysis on the dynamic behavior of nonlinear control systems[J].Information and control, 1996, 25(2):115-119
[20]Zhang Z, An D U, Kim H, et al.Comparative study of Matrix exponential and Taylor series discretization methods for nonlinear ODEs[J].Simulation Modelling Practice & Theory, 2009, 17(2):471-484
[21]Kazantzis N, Kravaris C.Time-discretization of nonlinear control systems via Taylor methods[J].Computers & Chemical Engineering, 1999, 23(6):763-784
[22]SNAME.Nomenclature for treating the motion of a submerged body through a fluid[S]. T & R Bulletin, 1950.
[23]M.S. Chislett and J. Stroem-Tejsen (1965). Planar Motion Mechanism Tests and Full-Scale Steering and Maneuvering Predictions for a Mariner Class Vessel[R], Technical Report Hy-5, Hydro- and Aerodynamics Laboratory, Lyngby, Denmark.
[24]Leo Breiman.Random Forests[J].Machine Learning, 2001, 45(1):5-32
[25]Hastie T, Tibshirani R, Friedman J.The element of statistical learning:Data Mining, Inference, and Prediction[M].Springer, 2009.
