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| Titel |
Substorm onset identification using neural networks and Pi2 pulsations |
| VerfasserIn |
P. R. Sutcliffe |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
0992-7689
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| Digitales Dokument |
URL |
| Erschienen |
In: Annales Geophysicae ; 15, no. 10 ; Nr. 15, no. 10, S.1257-1264 |
| Datensatznummer |
250012972
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| Publikation (Nr.) |
 copernicus.org/angeo-15-1257-1997.pdf |
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| Zusammenfassung |
| The pattern recognition capabilities of
artificial neural networks (ANNs) have for the first time been used to identify
Pi2 pulsations in magnetometer data, which in turn serve as indicators of
substorm onsets and intensifications. The pulsation spectrum was used as input
to the ANN and the network was trained to give an output of +1 for Pi2
signatures and -1 for non-Pi2 signatures. In order to evaluate the degree of
success of the neural-network procedure for identifying Pi2 pulsations, the ANN
was used to scan a number of data sets and the results compared with visual
identification of Pi2 signatures. The ANN performed extremely well with a
success rate of approximately 90% for Pi2 identification and a timing accuracy
generally within 1 min compared to visual identification. A number of potential
applications of the neural-network Pi2 scanning procedure are discussed. |
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