Prediction of local scour around bridge piers: artificial-intelligence-based modeling versus conventional regression methods

Prediction of local scour around bridge piers: artificial-intelligence-based modeling versus conventional regression methods

Abstract This paper presents the use of two artificial intelligence modeling methods, namely genetic programming (GP) and adaptive neuro-fuzzy inference system (ANFIS), to predict pier scour depth based on clear water conditions of 320 data sets of laboratory and field data measurements. The scour d...

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Bibliographic Details
Main Author: Reda Abd El-Hady Rady
Format: Article
Language:English
Published: SpringerOpen 2020-01-01
Series:Applied Water Science
Subjects:
Local scour depth
Genetic programming
Adaptive neuro-fuzzy
Regression methods
Bridge piers
Online Access:https://doi.org/10.1007/s13201-020-1140-4

Internet

https://doi.org/10.1007/s13201-020-1140-4

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