Assessing Machine Learning versus a Mathematical Model to Estimate the Transverse Shear Stress Distribution in a Rectangular Channel

Assessing Machine Learning versus a Mathematical Model to Estimate the Transverse Shear Stress Distribution in a Rectangular Channel

One of the most important subjects of hydraulic engineering is the reliable estimation of the transverse distribution in the rectangular channel of bed and wall shear stresses. This study makes use of the Tsallis entropy, genetic programming (GP) and adaptive neuro-fuzzy inference system (ANFIS) met...

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Bibliographic Details
Main Authors: Babak Lashkar-Ara, Niloofar Kalantari, Zohreh Sheikh Khozani, Amir Mosavi
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Mathematics
Subjects:
smooth rectangular channel
Tsallis entropy
genetic programming
artificial intelligence
machine learning
big data
Online Access:https://www.mdpi.com/2227-7390/9/6/596

Internet

https://www.mdpi.com/2227-7390/9/6/596

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