原文传递
Integrating Machine Learning Models into Building Codes and Standards: Establishing Equivalence through Engineering Intuition and Causal Logic
| 题名： | Integrating Machine Learning Models into Building Codes and Standards: Establishing Equivalence through Engineering Intuition and Causal Logic |
| 正文语种： | eng |
| 作者： | M. Z. Naser |
| 作者单位： | Clemson Univ. |
| 关键词： | Building codes;Machine learning;Prediction |
| 摘要： | Abstract The traditional approach to formulating building codes often is slow and labor-intensive, and may struggle to keep pace with the rapid evolution of technology and domain findings. Overcoming such challenges necessitates a methodology that streaml |
| 出版年： | 2024 |
| 期刊名称： | Journal of structural engineering |
| 卷： | 150 |
| 期： | 5 |
| 页码： | 1.1-1.14 |
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