Application of augmented bat algorithm with artificial neural network in forecasting river inflow in Malaysia
Hydrologists rely extensively on anticipating river streamflow (SF) to monitor and regulate flood management and water demand for people. Only a few simulation systems, where previous techniques failed to anticipate SF data quickly, let alone cost-effectively, and took a long time to execute. The ba...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
Springer Heidelberg
2023
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/39129/ |
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