A novel explainable AI-based approach to estimate the natural period of vibration of masonry infill reinforced concrete frame structures using different machine learning techniques

A novel explainable AI-based approach to estimate the natural period of vibration of masonry infill reinforced concrete frame structures using different machine learning techniques

In this study, we used four different machine learning models - artificial neural network (ANN), support vector regression (SVR), k-nearest neighbor (KNN), and random forest (RF) - to predict the natural period of reinforced concrete frame structures with masonry infill walls. To interpret the model...

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Bibliographic Details
Main Authors: P. Thisovithan, Harinda Aththanayake, D.P.P. Meddage, I.U. Ekanayake, Upaka Rathnayake
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Results in Engineering
Subjects:
Explainable AI
Masonry infill
Machine learning
Regression
Natural period
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123023005157

Internet

http://www.sciencedirect.com/science/article/pii/S2590123023005157

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