首页|Findings in Engineering Reported from Nanjing University of Aeronautics and Astr onautics (A New Surface Roughness Measurement Method Based On Qr-svm)
Findings in Engineering Reported from Nanjing University of Aeronautics and Astr onautics (A New Surface Roughness Measurement Method Based On Qr-svm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Enginee ring. According to news originating fromNanjing, People’s Republic of China, by NewsRx correspondents, research stated, “In this paper, a methodfor detecting surface roughness in machining processes is proposed to solve the problem of low detection accuracy caused by a small sample size in machine vision detection. T he proposed method combines QRdecomposition with the support vector machine (SV M) classifier to accurately assess surface roughness.”
NanjingPeople’s Republic of ChinaAsi aEngineeringEmerging TechnologiesMachine LearningMachine VisionNanjing University of Aeronautics and Astronautics
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