Improved Quantum Artificial Bee Colony Algorithm-Optimized Artificial Intelligence Models for Suspended Sediment Load Predicting
River sediment plays a critical role in maintaining the health of river ecosystems, and accurately predicting suspended sediment load (SSL) is vital for effective river management. This study proposes a quantum bee colony algorithm based on Boltzmann’s selection and dimensional dynamic update...
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| Główni autorzy: | , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
IEEE
2025-01-01
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| Seria: | IEEE Access |
| Hasła przedmiotowe: | |
| Dostęp online: | https://ieeexplore.ieee.org/document/10318821/ |
| Etykiety: |
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