Predictive Modelling Insights with Interpretable NARX - LIME for Geomagnetic Disturbance-Storm-Time Index
Machine learning has attracted significant attention for predicting an upcoming geomagnetic storm disturbance using the disturbance storm time (Dst) index. However, studies on machine learning techniques for predicting geomagnetic disturbances have mostly focused on the next step ahead of performanc...
| 出版年: | 2024 IEEE 14TH SYMPOSIUM ON COMPUTER APPLICATIONS & INDUSTRIAL ELECTRONICS, ISCAIE 2024 |
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| 主要な著者: | , , , , , |
| フォーマット: | Proceedings Paper |
| 言語: | English |
| 出版事項: |
IEEE
2024
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| 主題: | |
| オンライン･アクセス: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001283898700094 |