Experimental investigation and application of soft computing models for predicting flow energy loss in arc-shaped constrictions

This investigation focuses on flow energy, a crucial parameter in the design of water structures such as channels. The research endeavors to explore the relative energy loss (ΔEAB/EA) in a constricted flow path of varying widths, employing Support Vector Machine (SVM), Artificial Neural Network (ANN...

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Veröffentlicht in:	Aqua (London, England) Jg. 73; H. 3; S. 637 - 661
Hauptverfasser:	Abbaszadeh, Hamidreza, Daneshfaraz, Rasoul, Sume, Veli, Abraham, John
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IWA Publishing 01.03.2024
Schlagworte:	artificial intelligence constricted arc-shaped energy loss nonlinear regression
ISSN:	2709-8028, 2709-8036
Online-Zugang:	Volltext
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