Solar flare forecasting using sunspot-groups classification and photospheric magnetic parameters
Document Type
Conference Proceeding
Publication Date
1-1-2011
Abstract
In this paper, we investigate whether incorporating sunspot-groups classification information would further improve the performance of our previous logistic regression based solar flare forecasting method, which uses only line-of-sight photospheric magnetic parameters. A dataset containing 4913 samples from the year 2000 to 2005 is constructed, in which 2721 samples from the year 2000, 2002 and 2004 are used as a training set, and the remaining 2192 samples from the year 2001, 2003 and 2005 are used as a testing set. Experimental results show that sunspot-groups classification combined with total gradient on the strong gradient polarity neutral line achieve the highest forecasting accuracy and thus it testifies sunspot-groups classification does help in solar flare forecasting. © International Astronomical Union 2011.
Identifier
84882979509 (Scopus)
ISBN
[9780521760621]
Publication Title
Proceedings of the International Astronomical Union
External Full Text Location
https://doi.org/10.1017/S1743921311015742
e-ISSN
17439221
ISSN
17439213
First Page
446
Last Page
450
Issue
S273
Volume
6
Grant
ATM-0716950
Fund Ref
National Science Foundation
Recommended Citation
Yuan, Yuan; Shih, Frank Y.; Jing, Ju; and Wang, Haimin, "Solar flare forecasting using sunspot-groups classification and photospheric magnetic parameters" (2011). Faculty Publications. 11490.
https://digitalcommons.njit.edu/fac_pubs/11490
