首页|New Support Vector Machines Study Findings Have Been Reported by Investigators a t Xi’an Technological University (Quantitative Detection of Aging Damage of Soli d Propellant Based On Frequency Impedance Spectroscopy Combined With Cars-svm .. .)
New Support Vector Machines Study Findings Have Been Reported by Investigators a t Xi’an Technological University (Quantitative Detection of Aging Damage of Soli d Propellant Based On Frequency Impedance Spectroscopy Combined With Cars-svm .. .)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Machine Lea rning - Support Vector Machines. According to news reporting from Xi’an, People’ s Republic of China, by NewsRx journalists, research stated, “Solid propellant, as the energy source for solid rocket engines, it is of great significance to ac hieve accurate quantitative detection of aging damage of solid propellant. In th is paper, a novel approach based on frequency impedance spectroscopy impedance combined with CARS-SVM algorithm was proposed.”
Xi’anPeople’s Republic of ChinaAsiaAlgorithmsMachine LearningSupport Vector MachinesXi’an Technological University
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