Total electron content forecasting using artificial neural network

• 主要な著者: Mat Akir, Rohaida, Chellappan, Kalaivani, Abdullah, Mardina
• フォーマット: 論文
• 言語: English
• 出版事項: Universiti Putra Malaysia 2017
• 主題: G100.5 -108.5 Toponymy Including gazetteers, geographic names and terms; TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
• オンライン･アクセス: http://eprints.uthm.edu.my/2906/1/AJ%202019%20%2869%29.pdf; http://eprints.uthm.edu.my/2906/; http://www.pertanika.upm.edu.my/pjst/browse/special-issue?article=JST-S0371-2017

Space weather forecasting and its importance for the power and communication industry have inspired research related to TEC forecasting lately. Research has attempted to establish an empirical model approach for TEC prediction. In this paper, artificial neural networks (ANNs) have been applied in to...