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All issues Volume 37 / No 3 (June 2019) JNWPU, 37 3 (2019) 612-620 References
Open Access
Issue
JNWPU
Volume 37, Number 3, June 2019
Page(s) 612 - 620
DOI https://doi.org/10.1051/jnwpu/20193730612
Published online 20 September 2019
  1. MaGuobing, XueAnke. Application of Data Mining Technology in Predicting the Track of Moving Object[J]. Computer Engineering and Application, 2004, 11:210-212 [Article] [Google Scholar]
  2. TanWei, LuBaichuan, HuangMeiling. Track Prediction Based on Neural Networks and Genetic Algorithm[J]. Journal of Chongqing Jiaotong University, 2010, 29(1): 147-150 [Article] [Google Scholar]
  3. Kim B M, Choi K C, Kim B S. Trajectory Tracking Controller Design Using Neural Networks for Tiltrotor UAV[C]//AIAA Guidance, Navigation and Control Conference and Exhibit, Hilton Head, 2007: 1-17 [Google Scholar]
  4. WangChao, GuoJiuxia, ShenZhipeng. Prediction of 4D Trajectory Based on Basic Flight Models[J]. Journal of Southwest Jiaotong University, 2009, 44(2): 295-300 [Article] [Google Scholar]
  5. ZhangMengjie, ShaoPeinan, YuMinghua. Pattern-Based Moving Target Trajectory Prediction in Hyperspace[J]. Computer System & Applications, 2018, 27(1): 113-119 [Article] [Google Scholar]
  6. QiaoShaojie, HanNan, ZhuXinwen, et al. A Dynamic Trajectory Prediction Algorithm Based on Kalman Filter[J]. Acta Electronica Sinica, 2018, 46(2): 418-423 [Article] [Google Scholar]
  7. Ioannis L, John L. Adaptive Aircraft Trajectory Prediction Using Particle Filters[C]//AIAA Guidance, Navigation and Control Conference and Exhibit Honolulu, 2008 [Article] [Google Scholar]
  8. XieLi, ZhangJunfeng, SuiDong. Aircraft Trajectory Prediction Based on Interacting Multiple Model Filtering Algorithm[J]. Aeronautical Computing Technique, 2012, 42(5): 68-71 [Article] [Google Scholar]
  9. YanHongwen, ZouDan. Short-term Wind Speed Forecasting Based on PSO-Elman Optimized by Association Rule[J]. Computer Engineering and Applications, 2017, 53(23): 261-266 10.3778/j.issn.1002-8331.1607-0186[Article] [Google Scholar]
  10. QianKui, ZhouYing, YangLiujing, et al. Aircraft Target Track Prediction Model Based on BP Neural Network[J]. Command Information System and Technology, 2017, 8(3): 54-58 [Article] [Google Scholar]
  11. RumelhardD E, HintonG E, WillianmsR J. Learning Representation by Back-Propagation Errors[J]. Nature, 1986, 323: 533-536 [Article] [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  12. GanXusheng, DuanmuJingshun, MengYuebo, et al. Aerodynamic Modeling from Flight Data Based on WNN Optimized by Particle Swarm[J]. Acta Aeronautica et Astronautica Sinica, 2012, 33(7): 1209-1217 [Article] [Google Scholar]
  13. SlatteryR, ZhaoY. Trajectory Synthesis for Air Traffic Automation[J]. Journal of Guidance, Control and Dynamics, 1997, 20: 232-238 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  14. YangRennong, ZhangZhenxing, ZhangYing, et al. Prediction of Aircraft Flight Performance Model Based on NARX Neural Network[J]. Journal of Northwest University, 2017, 47(1): 7-12 [Article] [Google Scholar]
  15. WangJianchen, QiXiaohui, ShanGanlin. Elman Network Based on EPSO-BP and Its Application in Flight Trajectory Prediction[J]. Control and Decision, 2013, 28(12): 1884-1888 [Article] [Google Scholar]
  16. LiYujian, ZhangTing. Introduction to Deep Learning and Case Analysis[M]. Beijing, China Machine Press, 2016:89-93 (in Chinese) [Google Scholar]
  17. Liang Y C. Application of Elman Neural Network in Short-Term Load Forecasting[C]//2010 International Conference on Artificial Intelligence and Computational Intelligence, Sanya, China, 2010: 141-144 [Article] [Google Scholar]
  18. Eberhart R C, Kennedy J. A New Optimizer Using Particle Swarm Theory[C]//Proc of the 6th Int Symposium on Micro Machine and Human Science, 1995: 39-43 [Article] [Google Scholar]
  19. XiYugeng, ChaiTianyou, YunWeimin. Survey on Genetic Algorithm[J]. Control Theory and Application, 1996, 3(6): 697-708 [Article] [Google Scholar]
  20. HongL I, XiongS B. Hybrid Particle Swarm Optimization Algorithm for Fault Feature Selection[J]. Journal of System Simulation, 2008, 20(15): 4041-4044 [Article] [Google Scholar]
  21. Hopfield J J. Neural Networks and Physical Systems with Emergent Collective Computational Abilities[C]//Proc NASUSA, 1982: 2554-2558 [Google Scholar]
  22. RefenesA N, BrntzY, BunnD W, et al. Finacial Time Series Modeling with Discouted Least Squares Back Propagation[J]. Neural Computing, 1997, 14(2): 123-138 [Google Scholar]
  23. JiaH C, PanD H, YuanY, et al. Using a BP Neural Network for Rapid Assessment of Populations with Difficulties Accessing Drinking Water Because of Drought[J]. Human & Ecological Risk Assessment, 2015, 21(1): 100-116 [Article] [CrossRef] [Google Scholar]
  24. Zhang Tao, Guo Jilian, Xu Ximeng. Air Combat Trajectory Prediction of a Fighter Based on Elman Neural Network[J]. Flight Dynamics, 2018, 36(5): 89-94 (in Chinese) [Google Scholar]

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