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.., .. ; ivanovv@gao.spb.ru Abstract
The paper investigates possibility of representation of some solar activity and space weather indices variations by means of models, which include as input variables energetic characteristics of large-scale solar magnetic field. The models are constructed for 21 and 22 solar cycles for solar rotation means of the indices. The results of the modeling show that "sunspot-and-flare-like" indices can be represented by rather accurate models with use of as few as three characteristics of the magnetic field. Increasing of the magnetic field specification (set of 18 characteristics) leads, as a rule, to small advance in the model quality. But even in the case of such an advance, the obtained optimal models contain not more than three-five corresponding modes of the magnetic field (usually of high order). Such a representation for coronal holes and polar faculae indices proves to be less accurate. For space weather indices the representation has tolerable accuracy for cosmic ray flux and interplanetary magnetic field models.

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», ) -- FLA, CorL IMF, («») -- ECH, MSAS, CLI, («») -- PCH PF, , , -- FSE AA. , ( , , ) , . , , . INTAS 2000-752 01-07-90289. 1. Hoeksema J.T., Scherrer P.H. / Solar magnetic Field: 1976 ­1985, WDCA, Boulder, 1986. 2. Obridko V.N., Shelting B.D. / Solar Phys.1992. V.137. P.167-177. 3. .., .. / . " ". . 1999. 4. .., .. / . . 215. 2000. . 69. 5. .., .. / . " " . 2001. 6. .., .., .. /- . . 2. (2002). . 137-139. 7. http://quake.stanford.edu/~wso/ 8. Farlow, S. J. (ed.), Self-organizing Method in Modeling: GMDH Type Algorithms. Statistics: Textbooks and Monographs, 54, 1984. 9. Madala,H.R., Ivakhnenko,A.G. Inductive Learning Algorithms for Complex Systems Modeling. CRC Press Inc., Boca Raton, 1994. 10. .., .. . . . 1987. 115 .