Application of Deep Reinforcement Learning to Major Solar Flare Forecasting

In this study, we present the application of deep reinforcement learning to the forecasting of major solar flares. For this, we consider full-disk magnetograms at 00:00 UT from the Solar and Heliospheric Observatory/Michelson Doppler Imager (1996–2010) and the Solar Dynamics Observatory/Helioseismic...

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Bibliographic Details
Main Authors: Kangwoo Yi, Yong-Jae Moon, Hyun-Jin Jeong
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal Supplement Series
Subjects:
Online Access:https://doi.org/10.3847/1538-4365/acb76d