Support vector machines for TEC seismo-ionospheric anomalies detection
Using time series prediction methods, it is possible to pursue the behaviors of earthquake precursors in the future and to announce early warnings when the differences between the predicted value and the observed value exceed the predefined threshold value. Support Vector Machines (SVMs) are wide...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2013-02-01
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| Series: | Annales Geophysicae |
| Online Access: | https://www.ann-geophys.net/31/173/2013/angeo-31-173-2013.pdf |