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Cơ sở dữ liệu Thư viện Hải dương học - VNIO's library catalogue (Bibliographic record, not full-text) >

Please use this identifier to cite or link to this item: http://tvhdh.vnio.org.vn:8080/xmlui/handle/123456789/21004

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
Authors: Nguyen, Tien Giang
Tran, Trung Duc
Nguyen, Cong Thanh
Keywords: Vietnam
Soc Trang province
Dai Ngai station
Long Short-Term Memory
Bayesian method
multistep-ahead salinity forecasting
Issue Date: 2023
Series/Report no.: 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
URI: http://tvhdh.vnio.org.vn:8080/xmlui/handle/123456789/21004
ISSN: 1859-3097 (print), 2815-5904 (online)
Appears in Collections:Cơ sở dữ liệu Thư viện Hải dương học - VNIO's library catalogue (Bibliographic record, not full-text)

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