Robotics & Machine Learning Daily News2024,Issue(Jan.26) :15-15.

New Findings on Support Vector Machines from Beijing Jiaotong University Summarized (A Dynamic Stiffness-based Two-step Method for Damage Identification of Joints In Hinged Slab Bridges Using Support Vector Machine)

Robotics & Machine Learning Daily News2024,Issue(Jan.26) :15-15.

New Findings on Support Vector Machines from Beijing Jiaotong University Summarized (A Dynamic Stiffness-based Two-step Method for Damage Identification of Joints In Hinged Slab Bridges Using Support Vector Machine)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Support Vector Machines. According to newsoriginating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Ascritical components of hinged slab bridges, joints are of great importance to the bearing capacity andserviceability of bridges. The existing model-based joint damage detection methods are based on precisefinite element models, and their identification accuracy is significantly affected by construction uncertainty.”

Key words

Beijing/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Support Vector Machines/Vector Machines/Beijing Jiaotong University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文