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Kulkarni et al. 1998

Kulkarni, D.R., Pandya, A.S. and Parikh, J.C. (1998). Modeling and predicting sunspot activity-state space reconstruction + artificial neural network methods. Geophysical Research Letters 25: doi: 10.1029/98GL00136. issn: 0094-8276.

Ideas of state space reconstruction of dynamics are combined with nonparametric artificial neural network approach to model sunspot activity. The structural aspects of the model are for the most part determined from the sunspot data. The model gives a very good fit to the data. Further it predicts weaker solar activity in the current (23-rd) cycle, with a maximum of 144¿36. ¿ 1998 American Geophysical Union

BACKGROUND DATA FILES

	Abstract

Keywords
Mathematical Geophysics, Nonlinear dynamics, Solar Physics, Astrophysics, and Astronomy, Solar activity cycle, Mathematical Geophysics, Modeling, Interplanetary Physics, Solar cycle variations

Journal
Geophysical Research Letters
http://www.agu.org/journals/gl/

Publisher
American Geophysical Union
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