Implementation of Univariate Paradigm for Streamflow Simulation Using Hybrid Data-Driven Model: Case Study in Tropical Region

Implementation of Univariate Paradigm for Streamflow Simulation Using Hybrid Data-Driven Model: Case Study in Tropical Region

The performance of the bio-inspired adaptive neuro-fuzzy inference system (ANFIS) models are proposed for forecasting highly non-linear streamflow of Pahang River, located in a tropical climatic region of Peninsular Malaysia. Three different bio-inspired optimization algorithms namely particle swarm...

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Bibliographic Details
Main Authors: Zaher Mundher Yaseen, Wan Hanna Melini Wan Mohtar, Ameen Mohammed Salih Ameen, Isa Ebtehaj, Siti Fatin Mohd Razali, Hossein Bonakdari, Sinan Q Salih, Nadhir Al-Ansari, Shamsuddin Shahid
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Streamflow forecasting
fuzzy logic
evolutionary algorithm
uncertainty analysis
tropical environment
Online Access:https://ieeexplore.ieee.org/document/8731906/

Internet

https://ieeexplore.ieee.org/document/8731906/

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