首页|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)
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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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.
WuhanPeople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesGenetic AlgorithmsGeneticsMachine Learni ngSupport Vector MachinesVector MachinesChinese Academy of Sciences
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