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DEEP Learning LSTM recurrent neural network for consequence forecasting of the solar wind disturbance
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Title: | DEEP Learning LSTM recurrent neural network for consequence forecasting of the solar wind disturbance | Authors: | Vyklyuk, Yaroslav; Radovanović, Milan M. ![]() ![]() ![]() ![]() |
Other contributors: | Nina, Aleksandra; Radovanović, Milan ![]() ![]() ![]() ![]() |
Issue Date: | 2019 | Publication: | Integrations of satellite and ground-based observations and multi-disciplinarity in research and prediction of different types of hazards in solar system: book of abstracts | Publisher: | Belgrade : Geographical Institute "Jovan Cvijić" SASA | Type: | Conference Paper | ISBN: | 978-86-80029-77-1![]() ![]() |
Collation: | str. 24-25 | VBS COBISS ![]() | 275944460 | URI: | https://enauka.gov.rs/handle/123456789/568484 https://dais.sanu.ac.rs/123456789/13404 |
M-category: | Mp. category will be shown later |