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Accurate discharge and water level forecasting using ensemble learning with genetic algorithm and singular spectrum analysis-based denoising
Forecasting discharge (Q) and water level (H) are essential factors in hydrological research and flood prediction. In recent years, deep learning has emerged as a viable technique for capturing the non-linear relationship of historical data to generate highly accurate prediction results. Despite the...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674858/ https://www.ncbi.nlm.nih.gov/pubmed/36400829 http://dx.doi.org/10.1038/s41598-022-22057-8 |