Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks
Author:
Affiliation:
1. Georgia State University,Department of Computer Science,Atlanta,GA,USA
Funder
National Aeronautics and Space Administration
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10381524/10381539/10381566.pdf?arnumber=10381566
Reference41 articles.
1. Next generation x-ray sensor (XRS) for the NOAA GOES-R satellite series
2. An Observational Overview of Solar Flares
3. An Analysis of Active Region as a Trigger of Solar Flares
4. A NEW METHOD TO QUANTIFY AND REDUCE THE NET PROJECTION ERROR IN WHOLE-SOLAR-ACTIVE-REGION PARAMETERS MEASURED FROM VECTOR MAGNETOGRAMS
5. Deep Learning Based Solar Flare Forecasting Model. I. Results for Line-of-sight Magnetograms
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