Integrated metaheuristic algorithms with extreme learning machine models for river streamflow prediction
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DOI: 10.1038/s41598-024-63908-w
Abstract: Accurate river streamflow prediction is pivotal for effective resource planning and flood risk management. Traditional river streamflow forecasting models encounter challenges such as nonlinearity, stochastic behavior, and convergence reliability. To overcome these, we introduce novel… read more here.
Keywords: extreme learning; metaheuristic algorithms; streamflow prediction; integrated metaheuristic ... See more keywords