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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| Định dạng: | Bài trích |
| Ngôn ngữ: | eng |
| Nhà xuất bản: |
Advances in Civil Engineering
2021
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| Truy cập trực tuyến: | 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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