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ANN Models for Hydraulic Jump Length by thinh_41 is a document available to read on EtoBox.

What is ANN Models for Hydraulic Jump Length about?

This study develops artificial neural network (ANN) models to predict the length of hydraulic jumps in horizontal rectangular channels, utilizing the Buckingham Pi theorem for input and output variables. The models outperform traditional empirical equations, with the best model achieving a NSE value of 0.9905 and demonstrating efficiency with fewer epochs. The findings suggest that ANN models can effectively replace empirical formulas for hydraulic jump length calculations across a range of inflow Froude nu

Author
thinh_41
Language
EN