Estimating Coastal Dyke Leakage Flow Using Support Vector Machine (SVM) and Multivariate Adaptive Regression Spline (MARS) Model

Estimating Coastal Dyke Leakage Flow Using Support Vector Machine (SVM) and Multivariate Adaptive Regression Spline (MARS) Model

It is important to check for leakage flow in hydraulic and marine structures during design, as uncontrolled leakage can cause irreparable damage. Soft computing methods can be used to easily model, analyze and control complex systems. This study uses Support Vector Machine (SVM) method to predict le...

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Bibliographic Details
Main Authors: Adel Asakereh, Farhad Choobi, mohammad bagherzadeh, reza mirzaee
Format: Article
Language:English
Published: K. N. Toosi University of Technology 2024-06-01
Series:Numerical Methods in Civil Engineering
Subjects:
soft computing
seepage discharge
coastal dyke
svm method
mars model
Online Access:https://nmce.kntu.ac.ir/article_200266_1202942f55aa0b2a4bc5a978cd5c5b5e.pdf
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