A Machine Learning Approach to Predicting SEP Events Using Properties of Coronal Mass Ejections
Author:
Affiliation:
1. Department of Computer Engineering and Sciences Florida Institute of Technology Melbourne FL USA
2. Department of Aerospace, Physics and Space Sciences Florida Institute of Technology Melbourne FL USA
Publisher
American Geophysical Union (AGU)
Subject
Atmospheric Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021SW002797
Reference33 articles.
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3. On the prediction of >100 MeV solar energetic particle events using GOES satellite data
4. CDAW Data Center. (2020a).SOHO LASCO CME catalog. Retrieved fromhttps://cdaw.gsfc.nasa.gov/CME_list/
5. CDAW Data Center. (2020b).Wind/WAVES type II bursts and CMEs. Retrieved fromhttps://cdaw.gsfc.nasa.gov/CME_list/radio/waves_type2.html
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