Prediction of seawater pH by bidirectional gated recurrent neural network with attention under phase...
Prediction of seawater pH by bidirectional gated recurrent neural network with attention under phase space reconstruction: case study of the coastal waters of Beihai, China
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Contents
Marine life is very sensitive to changes in pH. Even slight changes can cause ecosystems to collapse. Therefore, understanding the future pH of seawater is of great significance for the protection of the marine environment. At present, the monitoring method of seawater pH has been matured. However, how to accurately predict future changes has been...
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Full title
Prediction of seawater pH by bidirectional gated recurrent neural network with attention under phase space reconstruction: case study of the coastal waters of Beihai, China
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TN_cdi_wanfang_journals_hyxb_e202310009
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_wanfang_journals_hyxb_e202310009
Other Identifiers
ISSN
0253-505X
E-ISSN
1869-1099
DOI
10.1007/s13131-023-2149-y
