Application of augmented bat algorithm with artificial neural network in forecasting river inflow in Malaysia

Application of augmented bat algorithm with artificial neural network in forecasting river inflow in Malaysia

Abstract 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 execut...

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Bibliographic Details
Main Authors: Wei Joe Wee, Kai Lun Chong, Ali Najah Ahmed, Marlinda Binti Abdul Malek, Yuk Feng Huang, Mohsen Sherif, Ahmed Elshafie
Format: Article
Language:English
Published: SpringerOpen 2022-12-01
Series:Applied Water Science
Subjects:
Artificial neural network
Bat meta-heuristic algorithm
Streamflow forecasting
Uncertainty analysis
Online Access:https://doi.org/10.1007/s13201-022-01831-z

Internet

https://doi.org/10.1007/s13201-022-01831-z

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