Practical Hybrid Machine Learning Approach for Estimation of Ultimate Load of Elliptical Concrete-Filled Steel Tubular Columns under Axial Loading

In this study, a hybrid machine learning (ML) technique was proposed to predict the bearing capacity of elliptical CFST columns under axial load. The proposed model was Adaptive Neurofuzzy Inference System (ANFIS) combined with Real Coded Genetic Algorithm (RCGA), denoted as RCGA-ANFIS. The evaluati...

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Bibliographic Details
Main Author: Tien-Thinh Le
Format: Bài trích
Language:eng
Published: Advances in Civil Engineering 2021
Online Access:https://www.hindawi.com/journals/ace/2020/8832522/
https://dlib.phenikaa-uni.edu.vn/handle/PNK/2841
https://doi.org/10.1155/2020/8832522
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