Results
eNauka >
Results >
DEEP Learning LSTM recurrent neural network for consequence forecasting of the solar wind disturbance
| 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 Search Idenfier |
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 |