References
- Akyilmaz O., Kutterer H. (2004) Prediction of Earth rotation parameters by fuzzy inference systems. Journal of Geodesy, Vol. 78, No. 1-2, 2004, pp. 82-93.
- Akyilmaz O., Kutterer H., Shum CK. and Ayan T. (2011) Fuzzy-wavelet based prediction of Earth rotation parameters. Applied Soft Computing, Vol. 11, No. 1, 2011, pp. 837-841.
- Gross RS., Marcus SL., Eubanks TM., Dickey JO. and Keppenne CL. (1996) Detection of an ENSO signal in seasonal length-of-day variations. Geophysical Research Letters, Vol. 23, No. 23, 1996, pp. 3373-3376.
- Gross RS., Eubanks TM., Steppe JA., Freedman AP., Dickey JO. and Runge TF. (1998) A Kalman-filter-based approach to combining independent Earth-orientation series. Journal of Geodesy, Vol. 72, No. 4, 1998, pp. 215-235.
- Huang GB., Zhu QY. and Siew CK. (2004) Extreme learning machine: a new learning scheme of feedforward neural networks. Proceedings of 2004 IEEE International Joint Conference on Neural Networks, Budapest, Hungary, pp. 985-990.
- Huang GB., Zhu QY. and Siew CK. (2006) Extreme learning machine: theory and applications, Neurocomputing, Vol. 70, No. 1-3, 2006, pp. 489-501.
- Johnson T., Luzum BJ., Ray JR. (2005) Improved near-term Earth rotation predictions using atmospheric angular momentum analysis and forecasts. Journal of Geodynamics, Vol. 39, No. 3, 2005, pp. 209-221.
- Kalarus M., Schuh H., Kosek W., et al. (2010) Achievements of the Earth orientation parameters prediction comparison campaign. Journal of Geodesy, Vol. 84, No. 10, 2010, pp. 587-596.
- Kosek W., McCarthy DD. and Luzum BJ. (1998) Possible improvement of Earth orientation forecast using autocovariance prediction procedures. Journal of Geodesy, Vol. 72, No. 4, 1998, pp. 189-199.
- Malkin Z., Skurikhina E. (1996) On prediction of EOP, Communications of IAA, No. 93.
- Niedzielski T., Kosek W. (2008) Prediction of UT1-UTC, LOD and AAM by combination of least-squares and multivariate stochastic methods. Journal of Geodesy, Vol. 82, No. 2, 2008, pp. 83-92. Petit G., Luzum B. (2010) IERS Conventions (2010). Verlag des Bundesamts für Kartographie und Geodasie, Frankfurt am Main, pp. 123-131.
- Schuh H., Ulrich M., Egger D., Müller J. and Schwegmann W. (2002) Prediction of Earth orientation parameters by artificial neural networks. Journal of Geodesy, Vol. 76, No. 5, 2002, pp. 247-258.
- Xu XQ., Zotov L. and Zhou YH. (2012) Combined prediction of Earth orientation parameters. Chinese Satellite Navigation Conference (CSNC) 2012 Proceedings, Lecture Notes in Electrical Engineering 160, pp. 361-369.
- Zhang XH., Wang QJ., Zhu JJ. and Zhang H. (2012) Application of general regression neural network to the prediction of LOD change. Chinese Astronomy and Astrophysics, Vol. 36, No. 1, 2012, pp. 86-96.