Performance evaluation of sediment ejector efficiency using hybrid neuro-fuzzy models
Sediment transport in the ejector is highly stochastic and non-linear in nature, and its accurate estimation is a complex and challenging mission. This study attempts to investigate the sediment removal estimation of sediment ejector using newly developed hybrid data-intelligence models. The propose...
Main Authors: | Ahmad Sharafati, Masoud Haghbin, Nand Kumar Tiwari, Suraj Kumar Bhagat, Nadhir Al-Ansari, Kwok-Wing Chau, Zaher Mundher Yaseen |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2021-01-01
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Series: | Engineering Applications of Computational Fluid Mechanics |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/19942060.2021.1893224 |
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