首页|New Support Vector Machines Study Findings Recently Were Published by Researcher s at Hohai University (Application of SCNGOVMD- SVM in Identification of Gas Ins ulated Switchgear Partial Discharge)
New Support Vector Machines Study Findings Recently Were Published by Researcher s at Hohai University (Application of SCNGOVMD- SVM in Identification of Gas Ins ulated Switchgear Partial Discharge)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on support vector machines is the su bject of a new report. According to newsreporting originating from Nanjing, Peo ple’s Republic of China, by NewsRx correspondents, researchstated, “Partial dis charge (PD) is one of the main reasons of insulation deterioration in gas insula tedswitchgear (GIS). How to efficiently and accurately identify PD signals is a n important guarantee for thestable operation of GIS.”
Hohai UniversityNanjingPeople’s Repu blic of ChinaAsiaAlgorithmsMachine LearningSupport Vector Machines
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