Enhancing prediction method of ionosphere for space weather monitoring using machine learning approaches: a review

• 主要な著者: Salleh, N., Yuhaniz, S. S., Sabri, S. F., Mohd. Azmi, N. F.
• フォーマット: 論文
• 出版事項: 2020
• 主題: T Technology (General)
• オンライン･アクセス: http://eprints.utm.my/id/eprint/92971/; http://dx.doi.org/10.18517/ijaseit.10.1.10163

This paper studies the machine learning techniques that can be used to enhance the prediction method of the ionosphere for space weather monitoring. Previously, the empirical model is used. However, there is a large deviation of the total electron content of ionosphere data for the areas located in...