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Statements

Subject Item
n2:RIV%2F67985530%3A_____%2F09%3A00330299%21RIV10-AV0-67985530
rdf:type
n13:Vysledek skos:Concept
dcterms: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.
dcterms: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
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
skos:notation
RIV/67985530:_____/09:00330299!RIV10-AV0-67985530
n4:aktivita
n10:P n10:Z
n4:aktivity
P(1QS300120506), P(IAA300120608), Z(AV0Z30120515)
n4:cisloPeriodika
April
n4:dodaniDat
n12:2010
n4:domaciTvurceVysledku
n11:2580322 n11:8426473
n4:druhVysledku
n6:J
n4:duvernostUdaju
n18:S
n4:entitaPredkladatele
n8:predkladatel
n4:idSjednocenehoVysledku
342250
n4:idVysledku
RIV/67985530:_____/09:00330299
n4:jazykVysledku
n14:eng
n4:klicovaSlova
neural networks; coronal mass ejections; energetic particles; flares; radio emissions; magnetic storms
n4:klicoveSlovo
n7:energetic%20particles n7:neural%20networks n7:magnetic%20storms n7:radio%20emissions n7:coronal%20mass%20ejections n7:flares
n4:kodStatuVydavatele
US - Spojené státy americké
n4:kontrolniKodProRIV
[FCFFB095F737]
n4:nazevZdroje
Space Weather
n4:obor
n17:DE
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
4
n4:projekt
n9:1QS300120506 n9:IAA300120608
n4:rokUplatneniVysledku
n12:2009
n4:svazekPeriodika
7
n4:tvurceVysledku
Hejda, Pavel Bochníček, Josef Valach, F. Revallo, M.
n4:wos
000265332500002
n4:zamer
n16:AV0Z30120515
s:issn
1542-7390
s:numberOfPages
7