Implementation of univariate paradigm for streamflow simulation using hybrid data-driven model: case study in tropical region

• Main Authors: Yaseen, Zaher Mundher, Wan Mohtar, Wan Hanna Melini, Ameen, Ameen Mohammed Salih, Ebtehaj, Isa, Mohd. Razali, Siti Fatin, Bonakdari, Hossein, Salih, Sinan Q., Al-Ansari, Nadhir, Shahid, Shamsuddin
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2019
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/89503/1/ZaherMundherYaseen2019_ImplementationofUnivariateParadigmforStreamflowSimulation.pdf; http://eprints.utm.my/id/eprint/89503/; http://dx.doi.org/10.1109/ACCESS.2019.2920916

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...