Prediction of the axial compressive strength of circular concrete-filled steel tube columns using sine cosine algorithm-support vector regression
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Prior researchers have demonstrated the successful application of the SVR algorithm within the area of composite structures.
“Notably, prior researchers have demonstrated the successful application of the SVR algorithm within the area of composite structures [52,53,65].”
From Machine Learning Algorithms for Prediction and Characterization of Cohesive Zone Parameters for Mixed-Mode Fracture (2024) · cites this paper as [65]
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Ramian, A., & Elhajjar, R. (2024) · Journal of Composites Science · doi:10.3390/jcs8080326 · Cited by 8 · see citing works
“The formulation for the SVR approach in the linear regression is defined as follows [65]: where ϕ x , w = { w 1 , . . . , w i , . . . , w N } , and b are the mapping function, the adjustable weight vector, and the adjustable bias parameter, respectively.”
- Authors
- Lyu, F., Fan, X., Ding, F., & Chen, Z.
- Affiliations
- Central South University (CN)
- Corresponding author
- Fan, Xinyu
- Ding, Faxing
- Venue
- Composite Structures
- Publisher
- Elsevier BV
- Published
- 2021-10
- Volume
- 273
- Pages
- 114282
- ISSN
- 0263-8223 (ISSN-L)
- OpenAlex
- W3171788660
- Cited by
- 77
- References
- 92
- Citations by year
- 2026: 13 · 2025: 20 · 2024: 18 · 2023: 14 · 2022: 10 · 2021: 2
- FWCI
- 5.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Composite Structures (publishedVersion)
- Funders
- National Natural Science Foundation of China (52008400)
- Topics
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Load-Bearing Analysis
- Physical Sciences › Engineering › Building and Construction › Structural Behavior of Reinforced Concrete
- Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
- Keywords
- concrete-filled steel tube columns, axial compressive strength, sine cosine algorithm, support vector regression, hyperparameter optimization, bearing capacity prediction
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