Solar Flare Prediction and Feature Selection Using a Light-Gradient-Boosting Machine Algorithm

Solar flares are among the most severe space-weather phenomena, and they have the capacity to generate radiation storms and radio disruptions on Earth. The accurate prediction of solar-flare events remains a significant challenge, requiring continuous monitoring and identification of specific featur...

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Bibliographic Details
Published in:	Solar physics Vol. 298; no. 11; p. 137
Main Authors:	Vysakh, P. A., Mayank, Prateek
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.11.2023 Springer Nature B.V
Subjects:	Algorithms Astrophysics and Astroparticles Atmospheric Sciences Labels Machine learning Physics Physics and Astronomy Sampling techniques Solar activity Solar flares Solar physics Space Exploration and Astronautics Space Sciences (including Extraterrestrial Physics Temporal resolution Weather Feature selection Forecasting Machine learning Solar flare
ISSN:	0038-0938, 1573-093X
Online Access:	Get full text
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