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A Optimizing the Long Short-Term Memory (LSTM) model by Bayesian method for salinity intrusion forecasting: a study at Dai Ngai station, Soc Trang province, Vietnam

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dc.contributor.author Nguyen, Tien Giang
dc.contributor.author Tran, Trung Duc
dc.contributor.author Nguyen, Cong Thanh
dc.date.accessioned 2023-10-23T08:51:53Z
dc.date.available 2023-10-23T08:51:53Z
dc.date.issued 2023
dc.identifier.issn 1859-3097 (print), 2815-5904 (online)
dc.identifier.uri http://tvhdh.vnio.org.vn:8080/xmlui/handle/123456789/21004
dc.language.iso en vi,en
dc.relation.ispartofseries Vietnam Journal of Marine Science and Technology, 23(3): 223-232, 2023; Publishing House for Science and Technology; https://doi.org/10.15625/1859-3097/18174;CV 64
dc.subject Vietnam vi,en
dc.subject Soc Trang province vi,en
dc.subject Dai Ngai station vi,en
dc.subject Long Short-Term Memory vi,en
dc.subject Bayesian method vi,en
dc.subject multistep-ahead salinity forecasting vi,en
dc.title A Optimizing the Long Short-Term Memory (LSTM) model by Bayesian method for salinity intrusion forecasting: a study at Dai Ngai station, Soc Trang province, Vietnam vi,en
dc.type Working Paper vi,en


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