Prediction of buckling damage of steel equal angle structural members using hybrid machine learning techniques

Prediction of buckling damage of steel equal angle structural members using hybrid machine learning techniques

Abstract This article deals with prediction of buckling damage of steel equal angle structural members using a surrogate model combining machine learning and metaheuristic optimization technique. In particular, a hybrid Artificial Intelligence (AI)-based model involving Artificial Neural Network (AN...

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Bibliographic Details
Main Authors: Nang Xuan Ho, Tien-Thinh Le, The-Hung Dinh, Van-Hai Nguyen
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Steel equal angle
Buckling damage
Surrogate model
Artificial neural network
Particle swarm optimization.
Online Access:https://doi.org/10.1038/s41598-025-87869-w
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https://doi.org/10.1038/s41598-025-87869-w

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