Integrated metaheuristic algorithms with extreme learning machine models for river streamflow prediction

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 hybrid models...

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Bibliographic Details
Main Authors: Thieu, Nguyen Van, Nguyen, Ngoc Hung, Sherif, Mohsen, El-Shafie, Ahmed, Ahmed, Ali Najah
Format: Article
Published: Nature Research 2024
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Online Access:http://eprints.um.edu.my/46891/
https://doi.org/10.1038/s41598-024-63908-w
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