Evaluation of gene expression programming and artificial neural networks in PyTorch for the prediction of local scour depth around a bridge pier-Reference-Cited by-同舟云学术

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Evaluation of gene expression programming and artificial neural networks in PyTorch for the prediction of local scour depth around a bridge pier

Published:2022-03 Issue: Volume:13 Page:100353
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

Hassan Waqed H.^ORCID,Hussein H.H.,Alshammari Musa H.,Jalal Halah K.,Rasheed Sajjad E.

Publisher

Elsevier BV

Subject

General Engineering

Reference48 articles.

1. Erodibility;Annandale;J. Hydraul. Res.,1995

2. Local scour around cylindrical piers;Breusers;J. Hydraulic Res. IAHR,1977

3. Failures in Civil Engineering: Structural, Foundation and Geo Environmental Case Studies;Shepherd,1995

4. Pier and abutment scour: integrated approach;Melville;J. Hydraul. Eng.,1997

5. Prediction of the depth of local scouring at a bridge pier using a gene expression programming method;Hassan;SN Appl. Sci.,2021

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