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| Content Provider | Springer Nature Link |
|---|---|
| Author | Rusav, A. A. Petrukovich, A. A. |
| Copyright Year | 2004 |
| Abstract | We investigated the dependence of the geomagnetic activity index K p on the velocity and density of the solar wind and the intensity of the interplanetary magnetic field (IMF). A three-layer neural network was used to create the model. The degree of the influence of input parameters on K p was determined by the value of the mean and root-mean square deviations of the model index values from the real indices. It was found that the largest contribution to the K p index is provided by the Z component of the IMF, the velocity and density of the solar wind measured with a delay from 0 to 3 h relative to the studied value of K p, and the previous value of the index itself. For the model with such a set of input parameters, the correlation coefficient between model and real series is ±0.89. The analysis of deviations from the real values of K p showed that high indices are simulated worse than low indices. In order to solve this problem the data distribution was reduced to a uniform distribution over K p, and this considerably decreased the standard deviations for large values of K p. |
| Starting Page | 354 |
| Ending Page | 361 |
| Page Count | 8 |
| File Format | |
| ISSN | 00109525 |
| Journal | Cosmic Research |
| Volume Number | 42 |
| Issue Number | 4 |
| e-ISSN | 16083075 |
| Language | English |
| Publisher | Kluwer Academic Publishers-Plenum Publishers |
| Publisher Date | 2004-01-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Astrophysics Relativity and Cosmology Automotive and Aerospace Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Astronomy and Astrophysics Aerospace Engineering Space and Planetary Science |
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