Use of artificial neural networks for prediction of discharge coefficient of triangular labyrinth side weir in curved channels

DOI10.1016/J.ADVENGSOFT.2011.02.006zbMath1332.76037DBLPjournals/aes/BilhanEK11OpenAlexW1971423803WikidataQ62607560 ScholiaQ62607560MaRDI QIDQ532481

M. Emin Emiroglu, Omer Bilhan, Ozgur Kisi

Publication date: 4 May 2011

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

Full work available at URL: https://doi.org/10.1016/j.advengsoft.2011.02.006

zbMATH Keywords

neural networkscurved channeldischarge coefficienthydrauliclabyrinthside weir

Mathematics Subject Classification ID

Related Items (1)

Use of artificial neural networks for prediction of discharge coefficient of triangular labyrinth side weir in curved channels

Cites Work

• Unnamed Item
• A neural network approach for prediction of critical submergence of an intake in still water and open channel flow for permeable and impermeable bottom
• Use of artificial neural networks for prediction of discharge coefficient of triangular labyrinth side weir in curved channels
• Application of two different neural network techniques to lateral outflow over rectangular side weirs located on a straight channel
• Predicting discharge capacity of triangular labyrinth side weir located on a straight channel by using an adaptive neuro-fuzzy technique

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