@inproceedings{8b762881f06e4248987746e533a70cf0,
title = "Solar flare forecasting using sunspot-groups classification and photospheric magnetic parameters",
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.",
keywords = "Sun: flares, Sun: magnetic fields, Sunspots",
author = "Yuan Yuan and Frank Shih and Ju Jing and Haimin Wang",
note = "Funding Information: Acknowledgment This work is supported by NSF under grants ATM-0716950, ATM-0745744 and NASA under grant NNXO-8AQ90G. The authors thank Dr. Barnes and Dr. Leka for letting us use their data set. Preparation of their data set was funded by NASA LWS TRT contract NNH09CE72C.",
year = "2011",
month = aug,
doi = "10.1017/S1743921311015742",
language = "English (US)",
isbn = "9780521760621",
series = "Proceedings of the International Astronomical Union",
publisher = "Cambridge University Press",
number = "S273",
pages = "446--450",
booktitle = "The Physics of Sun and Star Spots",
address = "United Kingdom",
edition = "S273",
}