Streamflow forecasting at Segamat Station using a hybrid group method of data handling with particle swarm optimization

Flood forecasting at monsoon-driven stations like the Segamat river station requires accurate streamflow predictions, where conventional Group Method of Data Handling (GMDH) models often underperform due to local optima convergence. This study enhances GMDH through Particle Swarm Optimization (PSO),...

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Bibliographic Details

Main Authors:	Basri, Badyalina, Ani, Shabri, Muhammad Fadhil, Marsani, Fatin Farazh, Ya’acob, Ahmad Hanis, Omar @ Omri, Noraini, Ibrahim
Format:	Conference or Workshop Item
Language:	en
Published:	IEEE 2025
Subjects:	QA75 Electronic computers. Computer science
Online Access:	https://umpir.ump.edu.my/id/eprint/47308/1/Streamflow%20Forecasting%20at%20Segamat%20Station%20Using%20a%20Hybrid%20Group%20Method%20of%20Data%20Handling%20with%20Particle%20Swarm%20Optimization.pdf https://umpir.ump.edu.my/id/eprint/47308/ https://doi.org/10.1109/AiDAS67696.2025.11213668
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