Robotics & Machine Learning Daily News2024,Issue(Feb.12) :3-4.DOI:10.1007/s00107-023-02035-1

Studies from Guangxi University Yield New Information about Machine Learning (Machine Learning-based Non-destructive Testing Model for High Precision and Stable Evaluation of Mechanical Properties In Bamboo-wood Composites)

Robotics & Machine Learning Daily News2024,Issue(Feb.12) :3-4.DOI:10.1007/s00107-023-02035-1

Studies from Guangxi University Yield New Information about Machine Learning (Machine Learning-based Non-destructive Testing Model for High Precision and Stable Evaluation of Mechanical Properties In Bamboo-wood Composites)

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Abstract

Investigators publish new report on Machine Learning. According to news reporting from Guangxi, People's Republic of China, by NewsRx journalists, research stated, "The efficient evaluation of mechanical performance of bamboo-wood composites (BWCs) is an important part for their development and application. To address the issues of low efficiency, high consumables usage, and low accuracy in traditional BWC mechanical performance testing, a non-destructive testing method for BWC mechanical performance was proposed based on machine learning." Funders for this research include National Natural Science Foundation of China (NSFC), Guangxi Science and Technology Base and Talent Special Project, Sichuan University.

Key words

Guangxi/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Guangxi University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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