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Flare forecasting and feature ranking using SDO/HMI data
Published 18 Dec 2018 in astro-ph.SR | (1812.07258v1)
Abstract: We describe here the application of a machine learning method for flare forecasting using vectors of properties extracted from images provided by the Helioseismic and Magnetic Imager in the Solar Dynamics Observatory (SDO/HMI). We also discuss how the method can be used to quantitatively assess the impact of such properties on the prediction process.
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