1. 锈蚀 RC 柱水平抗力的机器学习预测及参数敏感性分析.
- Author
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丁自豪, 雷川鹤, 郑史雄, 贾宏宇, 陈志强, and 许 智
- Subjects
MACHINE learning ,ARTIFICIAL neural networks ,AXIAL loads ,FAILURE mode & effects analysis ,STANDARD deviations - Abstract
Copyright of Journal of Harbin Institute of Technology. Social Sciences Edition / Haerbin Gongye Daxue Xuebao. Shehui Kexue Ban is the property of Harbin Institute of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2024
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