DEEP Learning LSTM recurrent neural network for consequence forecasting of the solar wind disturbance
Аутори
Vyklyuk, YaroslavRadovanović, Milan M.
Malinović-Milićević, Slavica
Остала ауторства
Nina, AleksandraRadovanović, Milan
Srećković, Vladimir A.
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуИзвор:
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, 2019, 24-25Издавач:
- Belgrade : Geographical Institute "Jovan Cvijić" SASA
Напомена:
- This conference was held from 10 to 13 May in Petnica Science Centre, City of Valjevo.
Институција/група
Географски институт „Јован Цвијић“ САНУ / Geographical Institute Jovan Cvijić SASATY - CONF AU - Vyklyuk, Yaroslav AU - Radovanović, Milan M. AU - Malinović-Milićević, Slavica PY - 2019 UR - https://dais.sanu.ac.rs/123456789/13404 PB - Belgrade : Geographical Institute "Jovan Cvijić" SASA C3 - 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 T1 - DEEP Learning LSTM recurrent neural network for consequence forecasting of the solar wind disturbance SP - 24 EP - 25 UR - https://hdl.handle.net/21.15107/rcub_dais_13404 ER -
@conference{ author = "Vyklyuk, Yaroslav and Radovanović, Milan M. and Malinović-Milićević, Slavica", year = "2019", publisher = "Belgrade : Geographical Institute "Jovan Cvijić" SASA", journal = "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", title = "DEEP Learning LSTM recurrent neural network for consequence forecasting of the solar wind disturbance", pages = "24-25", url = "https://hdl.handle.net/21.15107/rcub_dais_13404" }
Vyklyuk, Y., Radovanović, M. M.,& Malinović-Milićević, S.. (2019). DEEP Learning LSTM recurrent neural network for consequence forecasting of the solar wind disturbance. in 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 Belgrade : Geographical Institute "Jovan Cvijić" SASA., 24-25. https://hdl.handle.net/21.15107/rcub_dais_13404
Vyklyuk Y, Radovanović MM, Malinović-Milićević S. DEEP Learning LSTM recurrent neural network for consequence forecasting of the solar wind disturbance. in 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. 2019;:24-25. https://hdl.handle.net/21.15107/rcub_dais_13404 .
Vyklyuk, Yaroslav, Radovanović, Milan M., Malinović-Milićević, Slavica, "DEEP Learning LSTM recurrent neural network for consequence forecasting of the solar wind disturbance" in 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 (2019):24-25, https://hdl.handle.net/21.15107/rcub_dais_13404 .