Robotics & Machine Learning Daily News2024,Issue(Aug.6) :19-20.

Recent Research from School of Resources & Safety Engineering High light Findings in Engineering (Hybrid Stacking Ensemble Algorithm and Simulated Annealing Optimization for Stability Evaluation of Underground Entry-type Excava tions)

Robotics & Machine Learning Daily News2024,Issue(Aug.6) :19-20.

Recent Research from School of Resources & Safety Engineering High light Findings in Engineering (Hybrid Stacking Ensemble Algorithm and Simulated Annealing Optimization for Stability Evaluation of Underground Entry-type Excava tions)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - A new study on Engineering is now available. Acco rding to news reporting originating fromChangsha, People’s Republic of China, b y NewsRx correspondents, research stated, “The stability ofunderground entry-ty pe excavations (UETEs) is of paramount importance for ensuring the safety of mining operations. As more engineering cases are accumulated, machine learning (ML) has demonstratedgreat potential for the stability evaluation of UETEs.”

Key words

Changsha/People’s Republic of China/As ia/Engineering/Algorithms/School of Resources & Safety Engineer ing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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