Solar Flare Intensity Prediction With Machine Learning Models
Abstract We develop a mixed long short‐term memory (LSTM) regression model to predict the maximum solar flare intensity within a 24‐hr time window 0–24, 6–30, 12–36, and 24–48 hr ahead of time using 6, 12, 24, and 48 hr of data (predictors) for each Helioseismic and Magnetic Imager (HMI) Active Regi...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-07-01
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| Series: | Space Weather |
| Online Access: | https://doi.org/10.1029/2020SW002440 |
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