Automated Prediction of CMEs Using Machine Learning of CME¿¿¿Flare Associations
Machine-learning algorithms are applied to explore the relation between significant flares and their associated CMEs. The NGDC flares catalogue and the SOHO/LASCO CME catalogue are processed to associate X and M-class flares with CMEs based on timing information. Automated systems are created to pro...
Main Authors: | , , , |
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Language: | en |
Published: |
Springer
2009
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Subjects: | |
Online Access: | http://hdl.handle.net/10454/4093 |