Research on optimal selection of runoff prediction models based on coupled machine learning methods
Research on optimal selection of runoff prediction models based on coupled machine learning methods
About this item
Full title
Author / Creator
Wei, Xing , Chen, Mengen , Zhou, Yulin , Zou, Jianhua , Ran, Libo and Shi, Ruibo
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
Runoff fluctuations under the influence of climate change and human activities present a significant challenge and valuable application in constructing high-accuracy runoff prediction models. This study aims to address this challenge by taking the Wanzhou station in the Three Gorges Reservoir area as a case study to optimize various prediction mode...
Alternative Titles
Full title
Research on optimal selection of runoff prediction models based on coupled machine learning methods
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_198684c4a8a746bd8634934cd1c2ae2c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_198684c4a8a746bd8634934cd1c2ae2c
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-83695-8
