A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction
Yuchen Dang,
Ziqi Chen,
Heng Li
et al.
Abstract:Solar activity has significant impacts on human activities and health. One most commonly used measure of solar activity is the sunspot number. This paper compares three important non-deep learning models, four popular deep learning models, and their five ensemble models in forecasting sunspot numbers. Our proposed ensemble model XGBoost-DL, which uses XGBoost as a two-level nonlinear ensemble method to combine the deep learning models, achieves the best forecasting performance among all considered models and t… Show more
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