Robotics & Machine Learning Daily News2024,Issue(Jan.1) :50-50.

Researchers from Chang’an University Detail New Studies and Findings in the Area of Machine Learning (Machine Learning-based Prediction of Axial Load Bearing Capacity for Cfrst Columns)

Robotics & Machine Learning Daily News2024,Issue(Jan.1) :50-50.

Researchers from Chang’an University Detail New Studies and Findings in the Area of Machine Learning (Machine Learning-based Prediction of Axial Load Bearing Capacity for Cfrst Columns)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsoriginating from Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “As aprimary load-bearing component, accurately predicting the bearing capacity of concrete-filled rectangularsteel tube (CFRST) members is an essential prerequisite for ensuring structural safety. Machine learningmethods are employed to model and predict the axial load bearing capacity of CFRST columns.”

Key words

Xi’an/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Chang’an University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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