首页|Researchers at North University of China Release New Data on Support Vector Mach ines (Enhanced Health States Recognition for Electric Rudder System Using Optimi zed Twin Support Vector Machine)
Researchers at North University of China Release New Data on Support Vector Mach ines (Enhanced Health States Recognition for Electric Rudder System Using Optimi zed Twin Support Vector Machine)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Support Vector Machine s is the subject of a report. According to news originating from Taiyuan, People ’s Republic of China, by NewsRx correspondents, research stated, “Safety and rel iability represent indispensable prerequisites for electric rudder systems (ERS) , while health states recognition serves as a potent technology that fortifies a nd optimizes these essential aspects. To address this problem, we present a heal th-state recognition muti-class model BAFAO-IPBT-TWSVM for ERS considering sever al typical operating parameters obtained from intelligent electric rudder system test platform.”
TaiyuanPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningSupport Vector MachinesVector Mach inesNorth University of China
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