首页|Studies from Northwestern Polytechnic University Describe New Findings in Suppor t Vector Machines (Support Vector Machinesbased Pre-calculation Error for Struc tural Reliability Analysis)
Studies from Northwestern Polytechnic University Describe New Findings in Suppor t Vector Machines (Support Vector Machinesbased Pre-calculation Error for Struc tural Reliability Analysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Su pport Vector Machines. According to news reporting originating in Xi’an, People’ s Republic of China, by NewsRx journalists, research stated, “For enhancing the efficiency and accuracy of structural reliability estimation, a support vector m achine-based pre-calculation error (PESVM) is proposed by integrating support ve ctor machine (SVM), constraints conversion, and pre-calculation error (PE). Base d on SVM modeling theory, the constraints conversion is applied to transform the original inequality constraints into equality constraints, contributing to the simplification of solving Lagrange multipliers and the improvement of computatio nal efficiency.”
Xi’anPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningSupport Vector MachinesVector Machin esNorthwestern Polytechnic University
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