Robotics & Machine Learning Daily News2024,Issue(Nov.21) :70-71.

Studies from School of Civil Engineering Update Current Data on Machine Learning (Optimized Machine Learning Methods for Identifying the Stiffness Loss of Crts- ii Slab Track Based On Vehicle Vibration Signals)

土木工程学院最新数据更新研究机器学习(用于识别的优化机器学习方法crts—ii型板式轨道车辆刚度损失振动信号

Robotics & Machine Learning Daily News2024,Issue(Nov.21) :70-71.

Studies from School of Civil Engineering Update Current Data on Machine Learning (Optimized Machine Learning Methods for Identifying the Stiffness Loss of Crts- ii Slab Track Based On Vehicle Vibration Signals)

土木工程学院最新数据更新研究机器学习(用于识别的优化机器学习方法crts—ii型板式轨道车辆刚度损失振动信号

扫码查看

摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的最新研究结果已经发表。据新闻报道研究称,NewsRx记者源于中华人民共和国长沙的报道,“车辆荷载和环境作用不可避免地导致crts-ii板式轨道的刚度损失。”板式轨道刚度损失的识别一直是影响车辆安全运行的关键问题CRTS-II板式轨道耦合系统(VSC S)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in Changsha, Pe ople’s Republic of China, by NewsRx journalists, research stated,“Vehicle loads and environmental actions inevitably cause stiffness loss in CRTS-II slab track . Accuratelyidentifying the stiffness loss of the slab track has been a crucial issue to the operation safety of vehicle-CRTS-II slab track coupled system (VSC S).”

Key words

Changsha/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/School of Civil Engineerin g

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