Kp forecasting with a recurrent neural network
In an effort to forecast the planetary Kp-index beyond the current 1-hour and 4-hour predictions, a recurrent neural network is trained on three decades of historical data from NASA’s Omni virtual observatory and forecasts Kp with a prediction horizon of up to 24 h. Using Matlab’s neural network too...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2019-01-01
|
| Series: | Journal of Space Weather and Space Climate |
| Subjects: | |
| Online Access: | https://www.swsc-journal.org/articles/swsc/full_html/2019/01/swsc180037/swsc180037.html |