Robotics & Machine Learning Daily News2024,Issue(Dec.5) :14-15.

Chongqing Jiaotong University Researchers Illuminate Research in Machine Learnin g (Explainable machine learning model for loaddeformation correlation in long-s pan suspension bridges using XGBoost-SHAP)

重庆交通大学研究人员阐述机器学习的研究(基于xgboost-shap的长s盘悬索桥荷载-变形相关性可解释机器学习模型)

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :14-15.

Chongqing Jiaotong University Researchers Illuminate Research in Machine Learnin g (Explainable machine learning model for loaddeformation correlation in long-s pan suspension bridges using XGBoost-SHAP)

重庆交通大学研究人员阐述机器学习的研究(基于xgboost-shap的长s盘悬索桥荷载-变形相关性可解释机器学习模型)

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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-人工智能的新数据在一份新的报告中呈现。根据NewsRx编辑对中华人民共和国重庆的新闻报道,研究表明,"大跨度悬索桥在多种荷载作用下的变形是反映其受力性能的重要指标操作状态。然而,多种荷载与结构变形之间的关系却难以确定量化。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According tonews reporting out of Chongqing, Peo ple’s Republic of China, by NewsRx editors, research stated, “Thedeformation of long-span suspension bridges in multiple loads is an important indictor to refl ect theiroperation state. However, the correlation between multiple loads and s tructural deformation is difficult toquantify.”

Key words

Chongqing Jiaotong University/Chongqing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Lear ning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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