Study Findings from Chinese Academy of Sciences Broaden Understanding of Support Vector Machines (Determination of the Stress Tensor of a Triaxial Strain Cell I n a Three-layer Model Using the Genetic Algorithm and Support Vector Machine)

Robotics & Machine Learning Daily News2024，Issue(Apr.30) ：33-34.

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Study Findings from Chinese Academy of Sciences Broaden Understanding of Support Vector Machines (Determination of the Stress Tensor of a Triaxial Strain Cell I n a Three-layer Model Using the Genetic Algorithm and Support Vector Machine)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Support Vec tor Machines. According to news originatingfrom Wuhan, People’s Republic of Chi na, by NewsRx correspondents, research stated, “The accurate acquisition of the stress state plays an important role in engineering practice. The over-coring st ress reliefmethod calculates stress tensor by measuring strain with a triaxial strain cell.”Funders for this research include National Natural Science Foundation of China ( NSFC), InnovationGroup Project of the Natural Science Foundation of Hubei Provi nce.

Key words

Wuhan/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Genetic Algorithms/Genetics/Machine Learni ng/Support Vector Machines/Vector Machines/Chinese Academy of Sciences

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出版年

2024

Robotics & Machine Learning Daily News

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