Feature selection approach for failure mode detection of reinforced concrete bridge columns

Feature selection approach for failure mode detection of reinforced concrete bridge columns

Selecting optimal input variables for machine learning (ML) algorithms is essential for any model outputs. This study presented a feature selection-based approach for determining the optimal input parameters for classifying reinforced concrete columns failure modes. The comprehensive datasets of 311...

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Bibliographic Details
Main Authors: Nageh M. Ali, A.I.B. Farouk, S.I. Haruna, Hani Alanazi, Musa Adamu, Yasser E. Ibrahim
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Case Studies in Construction Materials
Subjects:
Machine Learning
Artificial Neural Network
Column Failure
Flexural shear
Decision tree
Naïve Bayes
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509522005150

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http://www.sciencedirect.com/science/article/pii/S2214509522005150

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