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Nazeri Tahroudi, Mohammad, Mirabbasi, Rasoul (2023) Frequency decomposition associated with machine learning algorithms and copula modeling for river flow prediction. Stochastic Environmental Research and Risk Assessment, 37 (8) Springer Science and Business Media LLC. 2897-2918 doi:10.1007/s00477-023-02425-0

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Reference TypeJournal (article/letter/editorial)
TitleFrequency decomposition associated with machine learning algorithms and copula modeling for river flow prediction
JournalStochastic Environmental Research and Risk Assessment
AuthorsNazeri Tahroudi, MohammadAuthor
Mirabbasi, RasoulAuthor
Year2023 (August)Volume37
Issue8
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s00477-023-02425-0Search in ResearchGate
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Mindat Ref. ID16627710Long-form Identifiermindat:1:5:16627710:4
GUID0
Full ReferenceNazeri Tahroudi, Mohammad, Mirabbasi, Rasoul (2023) Frequency decomposition associated with machine learning algorithms and copula modeling for river flow prediction. Stochastic Environmental Research and Risk Assessment, 37 (8) Springer Science and Business Media LLC. 2897-2918 doi:10.1007/s00477-023-02425-0
Plain TextNazeri Tahroudi, Mohammad, Mirabbasi, Rasoul (2023) Frequency decomposition associated with machine learning algorithms and copula modeling for river flow prediction. Stochastic Environmental Research and Risk Assessment, 37 (8) Springer Science and Business Media LLC. 2897-2918 doi:10.1007/s00477-023-02425-0
In(2023, August) Stochastic Environmental Research and Risk Assessment Vol. 37 (8) Springer Science and Business Media LLC

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