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Short-term streamflow modeling using data-intelligence evolutionary machine learning models
Accurate streamflow prediction is essential for efficient water resources management. Machine learning (ML) models are the tools to meet this need. This paper presents a comparative research study focusing on hybridizing ML models with bioinspired optimization algorithms (BOA) for short-term multist...
Autores principales: | Martinho, Alfeu D., Hippert, Henrique S., Goliatt, Leonardo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449879/ https://www.ncbi.nlm.nih.gov/pubmed/37620432 http://dx.doi.org/10.1038/s41598-023-41113-5 |
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