Robotics & Machine Learning Daily News2024,Issue(Jan.5) :55-56.

New Machine Learning Study Findings Reported from Dalian University of Technology (Predicting Peak Deviatoric Stress of Gravels With a Novel Segmented Feature Transformation Approach)

Robotics & Machine Learning Daily News2024,Issue(Jan.5) :55-56.

New Machine Learning Study Findings Reported from Dalian University of Technology (Predicting Peak Deviatoric Stress of Gravels With a Novel Segmented Feature Transformation Approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learning have been published. According to newsreporting out of Liaoning, People’s Republic of China, by NewsRx editors, research stated, “The assessmentof peak deviatoric stress (qpeak) in gravels is crucial for engineering stability and safety. Due to the variousinfluencing factors and the limited available samples, present empirical methods and conventional machinelearning algorithms have limitations in generalization capability and achieving high performance in thiscomplex relationship.”

Key words

Liaoning/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Dalian University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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