Predictions of SEP events by means of a linear filter and layer-recurrent neural network

0365304 - GFÚ 2012 RIV GB eng J - Článek v odborném periodiku
Valach, F. - Revallo, M. - Hejda, Pavel - Bochníček, Josef
Predictions of SEP events by means of a linear filter and layer-recurrent neural network.
Acta Astronautica. Roč. 69, č. 9-10 (2011), s. 758-766. ISSN 0094-5765. E-ISSN 1879-2030
Grant CEP: GA AV ČR(CZ) IAA300120608; GA MŠMT OC09070
Grant ostatní: VEGA(SK) 2/0015/11; VEGA(SK) 2/0022/11
Výzkumný záměr: CEZ:AV0Z30120515
Klíčová slova: coronal mass ejection * X-ray flare * solar energetic particles * artificial neural network
Kód oboru RIV: DE - Zemský magnetismus, geodézie, geografie
Impakt faktor: 0.614, rok: 2011

Solar energetic particle (SEP) modelling has gained great interest in the community, specifically in connection with the safety of crews and the protection of technological systems of spacecraft situated outside the shielding of Earth's magnetosphere. Two models for the prediction of SEP events are presented in this paper. The models are based on a linear filter and on a special type of dynamic artificial neural network known as the layer-recurrent neural network. In this work they use as input the following parameters: the X-ray flare class for flares originating close to the centre of the solar disk; observed type II or IV radio bursts; and of the position angle, width, and linear speed of observed full or partial halo CMEs.
Trvalý link: http://hdl.handle.net/11104/0200577