Predicting discharge coefficient of weir–orifice in closed conduit using a neuro-fuzzy model improved by multi-phase PSOGSA

Predicting discharge coefficient of weir–orifice in closed conduit using a neuro-fuzzy model improved by multi-phase PSOGSA

Abstract This study investigates the viability of a strong algorithm (PSOGSA) merging particle swarm optimization (PSO) and gravity search algorithm (GSA) in tuning adaptive neuro-fuzzy system (ANFIS) parameters for modeling dimensionless experimental discharge of combined weir–orifices. The results...

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Bibliographic Details
Main Authors: Rana Muhammad Adnan, Payam Khosravinia, Ozgur Kisi, Mohammad Reza Nikpour, Hong-Liang Dai, Mazyar Osmani, Seyyede Aniseh Ghazaei
Format: Article
Language:English
Published: SpringerOpen 2024-02-01
Series:Applied Water Science
Subjects:
Combined weir–orifices
Dimensionless experimental discharge
Modeling
Particle swarm optimization
Gravity search algorithm
Neuro-fuzzy system
Online Access:https://doi.org/10.1007/s13201-023-02094-y

Internet

https://doi.org/10.1007/s13201-023-02094-y

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