An Investigation of Optimal Machine Learning Methods for the Prediction of ROTI
The rate of the total electron content (TEC)change index (ROTI)can be regarded as an effective indicator of the level of ionospheric scintillation, in particular in low and high latitude regions. An accurate prediction of the ROTI is essential to reduce the impact of the ionospheric scintillation on...
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| Format: | Article |
| Language: | English |
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Surveying and Mapping Press
2020-06-01
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| Series: | Journal of Geodesy and Geoinformation Science |
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| Online Access: | http://jggs.sinomaps.com/fileup/2096-5990/PDF/1594087875441-26514553.pdf |