Počet záznamů: 1
Solar energetic particle flux enhancement as a predictor of geomagnetic activity in a neural network-based model
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SYSNO ASEP 0330299 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Solar energetic particle flux enhancement as a predictor of geomagnetic activity in a neural network-based model Tvůrce(i) Valach, F. (SK)
Revallo, M. (SK)
Bochníček, Josef (GFU-E) ORCID, RID
Hejda, Pavel (GFU-E) ORCID, RIDZdroj.dok. Space Weather-the International Journal of Research and Applications. - : Wiley
Roč. 7, April (2009), S04004/1-S04004/7Poč.str. 7 s. Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova neural networks ; coronal mass ejections ; energetic particles ; flares ; radio emissions ; magnetic storms Vědní obor RIV DE - Zemský magnetismus, geodézie, geografie CEP IAA300120608 GA AV ČR - Akademie věd 1QS300120506 GA AV ČR - Akademie věd CEZ AV0Z30120515 - GFU-E (2005-2011) UT WOS 000265332500002 DOI 10.1029/2008SW000421 Anotace Coronal mass ejections (CMEs) are believed to be the principal cause of increased geomagnetic activity. They are regarded as being in context of a series of related solar energetic events, such as X-ray flares (XRAs) accompanied by solar radio bursts (RSPs) and also by solar energetic particle (SEP) flux. Two types of the RSP events are known to be geoeffective, namely, the RSP of type II, interpreted as the signature of shock initiation in the solar corona, and type IV, representing material moving upward in the corona. The SEP events causing geomagnetic response are known to be produced by CME-driven shocks. In this paper, we use the method of the artificial neural network in order to quantify the geomagnetic response of particular solar events. The data concerning XRAs and RSPs II and/or IV together with their heliographic positions are taken as the input for the neural network. Pracoviště Geofyzikální ústav Kontakt Hana Krejzlíková, kniha@ig.cas.cz, Tel.: 267 103 028 Rok sběru 2010
Počet záznamů: 1