Prediction of geomagnetic storms from solar wind data using Elman recurrent neural networks

Geophysical Research Letters

Volumn 23, Issue 4, 1996, Pages 319-322

  Wu, Jian Guo ^a   Lundstedt, Henrik ^a  

^a LUND UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0000502571     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/96GL00259     Document Type: Article

References (24)

1. Baker, D. N., A. J. Klimas, R. L. McPherron, and J. Büchner, The evolution from weak to strong geomagnetic activity: An interpretation in terms of deterministic chaos, Geophys.Res. Lett., 17, 41, 1990.
2. Baker, D. N., Statistical analyses in the study of solar wind-magnetosphere coupling, in Solar Wind-Magnetosphere Coupling, edited by Y. Kamide and J. A. Slavin, pp. 17-38, Terra Scientific, Tokyo, 1986.
3. Bargatze, L. F., D. N. Baker, R. L. McPherron, and E. W. Homes, Jr., Magnetospheric impulse response for many levels of geomagnetic activity, J. Geophys. Res., 90, 6387, 1985.
4. st, J. Geophys. Res., 80, 4204, 1975.
5. Clauer, C. R., R. L. McPherron, C. Searls, and M. G. Kivelson, Solar wind control of auroral zone geomagnetic activity, Geophys. Res. Lett., 8, 915, 1981.
6. st) index by a adaptive filtering of solar wind data, in Proceedings of the International Workshop on Artificial Intelligence Applications in Solar-Terrestrial Physics, edited by J. Joselyn, H. Lundstedt, and J. Trolinger, pp. 159-166, Lund, Sweden, 1993.
7. Elman, J. L., Finding structure in time, Cognitive Science, 14, 179, 1990.
8. st index and the polar cap potential, in Solar Wind-Magnetosphere Coupling, edited by Y. Kamide and J. A. Slavin, pp. 111-117, Terra Scientific, Tokyo, 1986.
9. Feldstein, Y. I., V. Yu. Pisarsky, N. M. Rudneva, A. Grafe, Ring current simulation in connections with interplanetary space conditions, Planet. Space Sci., 32, 975, 1984.
10. Freeman, J., A. Nagai, P. Reiff, W. Denig, S. Gussenhoven, M. A. Shea, M. Heinemann, F. Rich, and M. Hairston, The use of neural networks to predict magnetospheric parameters for input to a magnetospheric forecast model, in Proceedings of the International Workshop on Artificial Intelligence Applications in Solar-Terrestrial Physics, edited by J. Joselyn, H. Lundstedt, and J. Trolinger, pp. 167-182, Lund, Sweden, 1993.
11. Fu, L. M., Neural Networks in Computer Intelligence, ch. 10, McGraw-Hill, Inc., 1994.
12. st index prediction from solar wind data using time-delay feed-forward neural networks, presented at XXI General Assembly, IUGG, Boulder, Colorado, July 2-14,1995, in IAGA Program and Abstract, p. B129.
13. Gonzalez, W. D., J. A. Joselyn, Y. Kamide, H. W. Kroehl, G. Rostoker, B. T. Tsurutani, and V. M. Vasyliunas, What is a geomagnetic storm? J. Geophys. Res., 99, 5771, 1994.
14. Hernandez, J. V., T. Tajima, and W. Horton, Neural net forecasting geomagnetic activity, Geophys. Res. Lett., 20, 2707, 1993.
15. Hertz, J., A. Krogh and R. G. Palmer, Introduction to the Theory of Neural Computation, ch. 6, Addison-Wesley, 1991.
16. Iyemori, T., H. Maeda, and T. Kamei, Impulse response of geomagnetic indices to interplanetary magnetic field, J. Geomagn. Geoelectr., 6, 577, 1979.
17. Klimas, A. J., D. N. Baker, D. A. Roberts, D. H. Fairfield, and J. Büchner, A nonlinear dynamical analogue model of geomagnetic activity, J. Geophys. Res., 97, 12253, 1992.
18. Lundstedt, H., Neural networks and predictions of solar-terrestrial effects, Planet Space Sci., 40, 457, 1992.
19. Lundstedt, H., and P. Wintoft, Prediction of geomagnetic storms from solar wind data with the use of a neural network, Ann. Geophys., 12, 19, 1994.
20. McPherron, R. L., D. N. Baker, L. F. Bargatze, C. R. Clauer, and R. E. Holzer, IMF control of geomagnetic activity, Adv. Space Res., 8, 71, 1988.
21. Price, C. P. and D. Prichard, The nonlinear response of the magnetosphere: 30 October 1978, Geophys. Res. Lett., 20, 771, 1993.
22. Trattner, K. J. and H. O. Rucker, Linear prediction theory in studies of solar wind-magnetosphere coupling, Ann. Geophys., 8(11), 733, 1990.
23. Vassiliadis, D., A. J. Klimas, D. N. Baker, and D. A. Roberts, A description of the solar wind-magnetosphere coupling based on nonlinear filters, J. Geophys. Res., 100, 3495, 1995.
24. st index from solar wind data with an Elman recurrent neural network, presented at XXI General Assembly, IUGG, Boulder, Colorado, July 2-14, 1995, in IAGA Program and Abstract, p. B140.