About: Solar energetic particle flux enhancement as a predictor of geomagnetic activity in a neural network-based model

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	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. 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. (en)
Title	Solar energetic particle flux enhancement as a predictor of geomagnetic activity in a neural network-based model Solar energetic particle flux enhancement as a predictor of geomagnetic activity in a neural network-based model (en)
skos:prefLabel	Solar energetic particle flux enhancement as a predictor of geomagnetic activity in a neural network-based model Solar energetic particle flux enhancement as a predictor of geomagnetic activity in a neural network-based model (en)
skos:notation	RIV/67985530:_____/09:00330299!RIV10-AV0-67985530
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(1QS300120506), P(IAA300120608), Z(AV0Z30120515)
http://linked.open...iv/cisloPeriodika	April
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Hejda, Pavel Bochníček, Josef
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Geofyzikální ústav AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	342250
http://linked.open...ai/riv/idVysledku	RIV/67985530:_____/09:00330299
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	neural networks; coronal mass ejections; energetic particles; flares; radio emissions; magnetic storms (en)
http://linked.open.../riv/klicoveSlovo	radio emissions neural networks flares energetic particles magnetic storms coronal mass ejections
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[FCFFB095F737]
http://linked.open...i/riv/nazevZdroje	Space Weather
http://linked.open...in/vavai/riv/obor	DE
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Long-term and short-term variations of the geomagnetic field: data acquisition, analyses and forecasts Development of methods for space weather forecasts and impacts of space weather on the ionosphere-atmosphere system
http://linked.open...UplatneniVysledku	2009
http://linked.open...v/svazekPeriodika	7
http://linked.open...iv/tvurceVysledku	Hejda, Pavel Bochníček, Josef Revallo, M. Valach, F.
http://linked.open...ain/vavai/riv/wos	000265332500002
http://linked.open...n/vavai/riv/zamer	Study of the internal structure and dynamics of the Earth
issn	1542-7390
number of pages	7 (xsd:int)
is http://linked.open...avai/riv/vysledek of	Solar energetic particle flux enhancement as a predictor of geomagnetic activity in a neural network-based model Solar energetic particle flux enhancement as a predictor of geomagnetic activity in a neural network-based model Solar energetic particle flux enhancement as a predictor of geomagnetic activity in a neural network-based model Solar energetic particle flux enhancement as a predictor of geomagnetic activity in a neural network-based model

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