Daily flow prediction of the Huayuankou hydrometeorological station based on the coupled CEEMDAN–SE–BiLSTM model

Enhancing flood forecasting accuracy, promoting rational water resource utilization and management, and mitigating river disasters all hinge on the crucial role of improving the accuracy of daily flow prediction. The coupled model of Complete Ensemble Empirical Mode Decomposition with Adaptive Noise...

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Detalles Bibliográficos
Autores principales: Li, Haiyang, Zhang, Xianqi, Sun, Shifeng, Wen, Yihao, Yin, Qiuwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622528/
https://www.ncbi.nlm.nih.gov/pubmed/37919397
http://dx.doi.org/10.1038/s41598-023-46264-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622528/
https://www.ncbi.nlm.nih.gov/pubmed/37919397
http://dx.doi.org/10.1038/s41598-023-46264-z

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