Augmented Data-Driven Machine Learning for Digital Twin of Stud Shear Connections
Existing design codes for predicting the strength of stud shear connections in composite structures are limited when adapting to constant changes in materials and configurations. Machine learning (ML) models for predicting shear connection are often constrained by the number of input variables, rese...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2024-01-01
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| Schriftenreihe: | Buildings |
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| Online-Zugang: | https://www.mdpi.com/2075-5309/14/2/328 |
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