[1] |
Kosek W, Kalarus M. Niedzielski T. Forecasting of the Earth orientation parameters comparison of different algorithms[J]. Nagoya Journal of Medical Science, 2008,69(3-4):133-137. |
[2] |
Liao Dechun, Wang Qijie, Zhou Yonghong, et al. Long-term Prediction of the Earth Orientation Parameters by the Artificial Neural Network Technique[J]. Journal of Geodynamics, 2012, 62(DEC):87-92 |
[3] |
Sun Zhangzhen, Xu Tianhe.Prediction of Earth Rotation Parameters Based on Improved Weighted Least Squares and Autoregressive Model[J]. Geodesy & Geodynamics, 2012, 3(03):57-64 |
[4] |
Dick W R, Thaller D. IERS Annual Report 2018[M]. Frankfurt am Main:Germany:Verlag des Bundesamts für Kartographie und Geodäsie. 2020:108-111 |
[5] |
Packard N H, Crutchfield J P, Farmer J D, et al. Geometry from a Time Series[J]. Physical Review Letters, 1980, 45(9):712-716 |
[6] |
Takens F. Detecting strange attractors in turbulence[J]. Lecture Notes in Mathematics.1981, 898:366-381 |
[7] |
Kugiumtzis D. State space reconstruction parameters in analysis of chaotic time series——the role of the time window length[J]. Physica D, Atomic:Nonlinear Phenomena, 1996, 95(1):13-28. |
[8] |
H.S. Kim, R. Eykholt, J.D. Salas. Nonlinear dynamics, delay times, and embedding windows[J]. Physica D:Nonlinear Phenomena, 1999, 127(1):48-60. |
[9] |
Rosenstein M T, Collins J J, Luca C J D. A Practical Method for Calculating Largest Lyapunov EXponents from Small Data Sets[J]. Physica D, 1993, 65:117-134 |
[10] |
Kalarus M, Schuh R, Kosek R, et al. Achievements of the Earth Orientation Parameters Prediction Comparison Campaign[J]. Journal of Geodesy, 2010, 84(10):587-596 |