Robotics & Machine Learning Daily News2024,Issue(Nov.14) :99-100.

Data on Machine Learning Reported by Researchers at School of Resources & Safety Engineering (Risk Assessment of Rockburst Using Smote Oversampling and In tegration Algorithms Under Gbdt Framework)

资源与安全工程学院研究人员报告的机器学习数据(使用Smote过采样和Gbdt框架下集成算法的岩爆风险评估)

Robotics & Machine Learning Daily News2024,Issue(Nov.14) :99-100.

Data on Machine Learning Reported by Researchers at School of Resources & Safety Engineering (Risk Assessment of Rockburst Using Smote Oversampling and In tegration Algorithms Under Gbdt Framework)

资源与安全工程学院研究人员报告的机器学习数据(使用Smote过采样和Gbdt框架下集成算法的岩爆风险评估)

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新闻-调查人员发布关于机器学习的新报告.根据新闻报道中国长沙,NewsRx编辑,研究称,“岩爆是一种常见的地下工程地质灾害严重威胁着人员、等安全财产和财产。利用机器学习模型评价岩石坝风险正逐渐成为一种新的研究方法。一种趋势。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators publish new report on Machine Learn ing. According to news reporting out ofChangsha, People’s Republic of China, by NewsRx editors, research stated, “Rockburst is a commongeological disaster in underground engineering, which seriously threatens the safety of personnel, equipment and property. Utilizing machine learning models to evaluate risk of rockbu rst is gradually becominga trend.”

Key words

Changsha/People’s Republic of China/As ia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/School of Reso urces & Safety Engineering

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