Super ensemble learning for daily streamflow forecasting: large-scale demonstration and comparison with multiple machine learning algorithms
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DOI: 10.1007/s00521-020-05172-3
Abstract: Daily streamflow forecasting through data-driven approaches is traditionally performed using a single machine learning algorithm. Existing applications are mostly restricted to examination of few case studies, not allowing accurate assessment of the predictive performance of… read more here.
Keywords: machine learning; ensemble learning; streamflow forecasting; super ensemble ... See more keywords