Improved runoff forecasting based on time-varying model averaging method and deep learning

In order to improve the accuracy and stability of runoff prediction. This study proposed a dynamic model averaging method with Time-varying weight (TV-DMA). Using this method, an integrated prediction model framework for runoff prediction was constructed. The framework determines the main variables...

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Detalles Bibliográficos
Autores principales: Ran, Jinlou, Cui, Yang, Xiang, Kai, Song, Yuchen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477370/
https://www.ncbi.nlm.nih.gov/pubmed/36108081
http://dx.doi.org/10.1371/journal.pone.0274004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477370/
https://www.ncbi.nlm.nih.gov/pubmed/36108081
http://dx.doi.org/10.1371/journal.pone.0274004

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