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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Main Authors: | , , , , |
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Format: | Article |
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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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