Adaptive neuro-fuzzy computing technique for suspended sediment estimation

DOI10.1016/j.advengsoft.2008.06.004zbMath1157.76380OpenAlexW2078220367WikidataQ62607585 ScholiaQ62607585MaRDI QIDQ1009932

Mehmet Ardiclioglu, Tefaruk Haktanir, Ozgur Ozturk, Salih Uludag, Ozgur Kisi, Ekrem Yalcin

Publication date: 3 April 2009

Published in: Advances in Engineering Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.advengsoft.2008.06.004

zbMATH Keywords

estimationneural networksneuro-fuzzysuspended sedimentrating curves

Mathematics Subject Classification ID

Hydrology, hydrography, oceanography (86A05) Neural networks for/in biological studies, artificial life and related topics (92B20) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Suspensions (76T20)

Related Items (3)

Artificial neural network approaches for prediction of backwater through arched bridge constrictions ⋮ Convergence analysis of the batch gradient-based neuro-fuzzy learning algorithm with smoothing \(L_{1/2}\) regularization for the first-order Takagi-Sugeno system ⋮ Neuro-fuzzy modelling of suspended sediment load: The need for a sound comparison with established methods

Uses Software

• ANFIS

Cites Work

• Fuzzy identification of systems and its applications to modeling and control
• Unnamed Item

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