首页|New Support Vector Machines Study Findings Reported from Beijing University (Res earch On High-frequency Torsional Oscillation Identification Using Tswoa-svm Bas ed On Downhole Parameters)
New Support Vector Machines Study Findings Reported from Beijing University (Res earch On High-frequency Torsional Oscillation Identification Using Tswoa-svm Bas ed On Downhole Parameters)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Researchers detail new data in Support Vector Mac hines. According to news originating fromBeijing, People’s Republic of China, b y NewsRx correspondents, research stated, “The occurrence ofdownhole high-frequ ency torsional oscillations (HFTO) can lead to the significant damage of drillin g toolsand can adversely affect drilling efficiency. Therefore, establishing a reliable HFTO identification model iscrucial.”
BeijingPeople’s Republic of ChinaAsi aAlgorithmsEmerging TechnologiesMachine LearningSupport Vector MachinesVector MachinesBeijing University
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