Data prediction results of SVM algorithm.

Data prediction results of SVM algorithm.

<p><b>(a)</b> Monitoring points #15 ~ #19 on the roof plate of bridge. <b>(b)</b> Monitoring points #20 on the bottom plate of bridge.</p>

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Bibliographic Details
Main Author:	Yanqing Men (20283876) (author)
Other Authors:	Hu Li (130600) (author), Fengzhou Liu (16848231) (author), Yongliang Huang (1731505) (author), Mingxin Gao (502701) (author), Xiaohui Wang (19899) (author), Hao Xie (406287) (author), Jianxin Cao (4180960) (author)
Published:	2025
Subjects:	Biochemistry Biotechnology Immunology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified various coupled effects singular value decomposition time adaptive thresholds decomposed monitoring data bridge structural safety monitoring data based leveraging data reconstruction data reconstruction time detection structural response bridge structures based prediction measured data xlink "> warning system warning method thereby decoupling term memory study proposes significant difficulty prediction model influencing factors enabling real effectively detecting dynamic early deep learning contribution rate complex interplay calculates real bridges involves
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Summary:	<p><b>(a)</b> Monitoring points #15 ~ #19 on the roof plate of bridge. <b>(b)</b> Monitoring points #20 on the bottom plate of bridge.</p>

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