Robotics & Machine Learning Daily News2024,Issue(Sep.4) :74-75.

Studies in the Area of Machine Learning Reported from Wuhan University (Predicti ng Existing Tunnel Deformation From Adjacent Foundation Pit Construction Using H ybrid Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Sep.4) :74-75.

Studies in the Area of Machine Learning Reported from Wuhan University (Predicti ng Existing Tunnel Deformation From Adjacent Foundation Pit Construction Using H ybrid Machine Learning)

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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 newsoriginating from Wuhan, People’s Repu blic of China, by NewsRx correspondents, research stated, “Toaccurately predict the existing tunnel deformation from adjacent foundation pit construction (AFPC ),a hybrid prediction framework based on random forest recursive feature elimin ation and the Bayesianoptimization natural gradient boosting algorithm (RF-RFE- BO-NGBoost) is presented in this paper.”

Key words

Wuhan/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Wuhan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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