Go to:
Logótipo
You are in:: Start > Publications > View > Machine learning approach for predicting the flexural behavior of steel members
Map of Premises
FC6 - Departamento de Ciência de Computadores FC5 - Edifício Central FC4 - Departamento de Biologia FC3 - Departamento de Física e Astronomia e Departamento GAOT FC2 - Departamento de Química e Bioquímica FC1 - Departamento de Matemática
Publication

Machine learning approach for predicting the flexural behavior of steel members

Title
Machine learning approach for predicting the flexural behavior of steel members
Type
Article in International Conference Proceedings Book
Year
2024
Authors
Cyrus Eshaghi
(Author)
FEUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications Without AUTHENTICUS Without ORCID
Elisa Cerqueira
(Author)
Other
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications Without AUTHENTICUS Without ORCID
Xavier Romão
(Author)
FEUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page Without ORCID
J. M. Castro
(Author)
FEUP
View Personal Page Send message Search for Participant Publications View Authenticus page View ORCID page
Conference proceedings International
18th World Conference on Earthquake Engineering (WCEE2024)
Milan, 2024
Other information
Type (Professor's evaluation): Scientific
Documents
File name Description Size
CI97 artigo final 3133.20 KB
Recommend this page Top
Copyright 1996-2026 © Faculdade de Ciências da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z
Page created on: 2026-02-23 at 08:49:07 | Privacy Policy | Personal Data Protection Policy | Whistleblowing | Electronic Yellow Book