Baker, D. N., Statistical analysis in the study of solar wind magnetosphere coupling, in Solar Wind-Magnetosphere Coupling, edited by Y. Kamide and J. A. Slavin, p. 17, Terra Sci., Tokyo, 1986.
Burton, R. K., R. L. C. T. Russell, An empirical relationship between interplanetary conditions and Dst, J. Geophys. Res., 80, 4204–4214, 1975.
Campbell, W., Geomagnetic storms, the Dst ring-current myth and lognormal distributions, J. Aymospheric and Solar Terrestrial Physics, 58(10), 1171–1187, July 1996.
Detman, T. R. and D. Vassiliadis, Review of techniques for magnetic storm forecasting, in Magnetic Storms, Geophys. Monogr. Ser., vol. 98, edited by B. T. Tsurutani, W. D. Gonzalez, Y. Kamide, and J. K. Arballo, p. 253, AGU, Washington D.C., 1997.
Fenrich, F. R. and J. G. Luhmann, Geomagnetic response to magnetic clouds of different polarity, Geophys. Res. Lett., 25, 2999–3002, 1998.
Freeman, J., A. Nagai, P. Reiff, W. Denig, S. Gussenhoven Shea, M. Heinermann, F. Rich, and M. Hairston, The use of neural networks to predict magnetospheric parameters for input to a magnetospheric forecast model, in Artificial Intelligence Applications in Solar Terrestrial Physics, edited by J. Joselyn, H. Lundstedt, and Trollinger, 167, Natl. Oceanic and Atmos. Admin., Boulder, Colorado, 1994.
Gleisner, H., H. Lundstedt, and P. Wintoft, Predicting geomagnetic storms from solar-wind data using time-delay neural networks, Ann. Geophys., 14, 679–686, 1996.
Gholipour, A., C. M. Shafiee, and B. N. Araabi, Extracting the main patterns of natural time series for long term prediction, J. Aymospheric and Solar Terrestrial Physics, 67(6), 595–603, 2005.
Iyemori, T., H. Maeda, and T. Kamei, Impulse response of geomagnetic indices to interplanetary magnetic fields, J. Geomag. Geoelectr., 31(1), 1979.
Joselyn, J. A., Geomagnetic activity forecasting: The state of the art, Rev. Geophys., 33, 383, 1995.
Kamide, Y., W. Baumjohann, I. A. Daglis, W. D. Gonzalez, M. Grande, J. A. Joselyn, R. L. McPherron, J. L. Phillips, E. G. D. Reeves, G. Rostoker, A. S. Sharma, H. J. Singer, B. T. Tsurutani, and V. M. Vasyliunas, Current understanding of magnetic storms: Storm-substorm relationships, J. Geophys. Res., 103, 17705–17728, 1998.
Kugblenu, S., S. Taguchi, and T. Okuzawa, Prediction of the geomagnetic storm associated Dst index using an artificial neural network algorithm, Earth Planets Space, 51, 307–313, 1999.
Loskutov, A., I. A. Istomin, K. M. Kuzanyan, and O. L. Kotlyarov, Testing and forecasting the time series of the solar activity by singular spectrum analysis, Nonlin. Phenomena in Complex Syst., 4(1), 47–57, 2001a.
Loskutov, A., I. Istomin, O. Kotlyarov, and K. Kuzanyan, A study of the regularities in Solar magnetic activity by singular spectrum analysis, Astronomy Letters, 27(11), 745–753, 2001b.
Loskutov, A., I. Istomin, and O. Kotlyarov, Data analysis: generalizations of the local approximation method by singular spectrum analysis, http://xxx.lanl.gov/abs/nlin.cd/0109022.
Munsami, V., Determination of the effects of substorms on the storm-time ring current using neural networks, J. Geophys. Res., 105, 27833, 2000.
Nagatsuma, T., Geomagnetic Storms, Journal of the Communications Research Laboratory, 49(3), 2002.
Nelles, O., Nonlinear System Identification with Local Linear Neuro-Fuzzy Models, PhD Thesis, TU Darmstadt, Shaker Verlag, Aachen, Germany, 1999.
Nelles, O., Nonlinear system identification, Springer Verlag, Berlin, 2001.
O’Brien, T. P. and R. L. McPherron, An empirical phase space analysis of ring current dynamics: solar wind control of injection and decay, J. Geophys. Res., 105, 7707–7719, 2000a.
O’Brien, T. P. and R. L. McPherron, Forecasting the ring current index Dst in real time, J. Atmospheric and Solar-Terrestrial Physics, 62, 1295–1299, 2000b.
Temerin, M. and X. Li, A New Model for the Prediction of Dst on the Basis of the Solar Wind, J. Geophs. Res., 107(A12), 1472, doi:10.1029/2001JA007532, 2002.
Vassiliadis, D., A. J. Klimas, D. N. Baker, and D. A. Roberts, A description of the solar wind magnetosphere coupling based on nonlinear prediction filters, J. Geophys. Res., 100, 3495, 1995.
Vassiliadis, D., A. J. Klimas, and D. N. Baker, Models of Dst Geomagnetic Activity and of its Coupling to Solar Wind Parameters, Phys. Chem. Earth (C), 24(1-3), 107–I12, 1999.
Vautard, R., P. Yiou, and M. Ghil, Singular spectrum analysis: A toolkit for short noisy chaotic signals, Physica D, 58, 95–126, 1992.
Watanabe, S., E. Sagawa, K. Ohtaka, and H. Shimazu, Prediction of the Dst index from solar wind parameters by a neural network method, J. Communications Research Laboratory, 49(4), 2002.
Wintoft, P., Space weather physics—Prediction and classification of solar wind structures and geomagnetic activity using artificial neural networks, PhD Thesis, LUNFD6/(NFAS 1017)/1-86/(1997), 1997.
Wintoft, P. and H. Lundstedt, Identification of geoeffective solar wind structures with self-organized maps, AI Applications in Solar-Terrestrial Physics, Lund, Sweden, July 29–31, 1997, edited by I. Sandahl and E. Jonsson, ESA WPP-148, 151–157, 1998.
Wu, J.-G., H. Lundstedt, P. Wintoft, and T. R. Detman, Space weather forecasting on the 1997 January halo CME event using neural network models, AI Applications in Solar-Terrestrial Physics, Lund, Sweden, July 29–31, 1997, edited by I. Sandahl and E. Jonsson, ESA WPP-148, 145–150, 1998a.
Wu, J.-G., H. Lundstedt, P. Wintoft, and T. R. Detman, Neural network models predicting the magnetospheric response to the 1997 January halo-CME event, Geophys. Res. Lett., 25, 3,031–3,034, 1998b.