| Presentation | 1998/10/24 Operational prediction of geomagnetic disturbances using neural networks Shigeaki Watanabe, Kazuhiro Ohtaka, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We have developed prediction models for geomagnetic disturbances.The models are based on Elman type partially recurrent neural networks. Using solar wind parameters obtained at the L1 point, we examined the predictive ability of the models for cases where the learning set consisted of 3 and 6 input components.Preliminary conclusion, we can say that the restriction to 3 input components does not appear to adversly effect the predictive ability of the models. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Neural networks / Prediction of disturbances / Solar wind / Dst |
| Paper # | A・P98-98,RCS98-143 |
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| Conference Information | |
| Committee | AP |
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| Conference Date | 1998/10/24(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Antennas and Propagation (A・P) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Operational prediction of geomagnetic disturbances using neural networks |
| Sub Title (in English) | |
| Keyword(1) | Neural networks |
| Keyword(2) | Prediction of disturbances |
| Keyword(3) | Solar wind |
| Keyword(4) | Dst |
| 1st Author's Name | Shigeaki Watanabe |
| 1st Author's Affiliation | Communications Research Laboratory() |
| 2nd Author's Name | Kazuhiro Ohtaka |
| 2nd Author's Affiliation | Communications Research Laboratory |
| Date | 1998/10/24 |
| Paper # | A・P98-98,RCS98-143 |
| Volume (vol) | vol.98 |
| Number (no) | 357 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |