ListarCITEEC-GEAMA - Artigos por tema "Hydrological model"
Mostrando ítems 1-3 de 3
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Coupling artificial neural networks with the artificial bee colony algorithm for global calibration of hydrological models
(Springer, 2021)[Abstract:] Hydrological models are widely used tools in water resources management. Their successful application requires an efficient calibration of the model parameters. Nowadays, there are very powerful global search ... -
Improving the predictive skills of hydrological models using a combinatorial optimization algorithm and artificial neural networks
(Springer, 2023)[Abstract:] Ensemble modelling is a numerical technique used to combine the results of a number of different individual models in order to obtain more robust, better-fitting predictions. The main drawback of ensemble ... -
Regional streamflow prediction in northwest Spain: A comparative analysis of regionalisation schemes
(Elsevier, 2023)[Abstract:] Study Region: The present study was conducted in 24 watersheds located in the region of Galicia, in the northwest of Spain, covering an extension of approximately 13,000 km. Study focus: This study is focused ...