A Deep Learning Model Based on Multi-Head Attention for Long-Term Forecasting of Solar Activity
Author:
Affiliation:
1. Department of Physics, University of Trieste, Via A. Valerio 2, 34127 Trieste, Italy
2. Astronomical Observatory of Trieste, INAF, Via G. Tiepolo 11, 34143 Trieste, Italy
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/39/1/16/pdf
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3. Relative phase analyses of 10.7cm solar radio flux with sunspot numbers;Deng;New Astron.,2013
4. The development of new solar indices for use in thermospheric density modeling;Tobiska;J. Atmos. Sol.-Terr. Phys.,2008
5. Prediction of Solar Cycle 25 using deep learning based long short-term memory forecasting technique;Prasad;Adv. Space Res.,2022
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