A neural network approach for prediction of critical submergence of an intake in still water and open channel flow for permeable and impermeable bottom
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Publication:416599
DOI10.1016/j.compfluid.2007.11.002zbMath1237.76122OpenAlexW2039839991MaRDI QIDQ416599
Serap Ünal, Fikret Kocabaş, Burhan Ünal
Publication date: 10 May 2012
Published in: Computers and Fluids (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.compfluid.2007.11.002
Experimental work for problems pertaining to fluid mechanics (76-05) Jets and cavities, cavitation, free-streamline theory, water-entry problems, airfoil and hydrofoil theory, sloshing (76B10)
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Prediction of swelling pressures of expansive soils using artificial neural networks ⋮ Use of artificial neural networks for prediction of discharge coefficient of triangular labyrinth side weir in curved channels ⋮ Compared techniques for the critical submergence of an intake in water flow ⋮ Development and application of ANN model for property prediction of supercritical kerosene
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