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

• Main Authors: Wee W.J., Chong K.L., Ahmed A.N., Malek M.B.A., Huang Y.F., Sherif M., Elshafie A.
• Other Authors: 57226181151
• Format: Article
• Published: Springer Science and Business Media Deutschland GmbH 2024
• Subjects: Artificial neural network; Bat meta-heuristic algorithm; Streamflow forecasting; Uncertainty analysis; Malaysia; Flood control; Forecasting; Heuristic algorithms; Heuristic methods; Neural networks; Stream flow; Artificial neural network modeling; Bat algorithms; Flood waters; Meta-heuristics algorithms; Performance; River inflow; Study areas; algorithm; artificial neural network; forecasting method; inflow; river flow; streamflow; uncertainty analysis

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...