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

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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Bibliographic Details
Main Authors: Hamidreza Abbaszadeh, Rasoul Daneshfaraz, Veli Sume, John Abraham
Format: Article
Language:English
Published: IWA Publishing 2024-03-01
Series:Aqua
Subjects:
artificial intelligence
constricted arc-shaped
energy loss
nonlinear regression
Online Access:http://aqua.iwaponline.com/content/73/3/637

Internet

http://aqua.iwaponline.com/content/73/3/637

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