首页|Suzhou University Researcher Updates Knowledge of Support Vector Machines (Asses sment of the Aging State for Transformer Oil-Barrier Insulation by Raman Spectro scopy and Optimized Support Vector Machine)
Suzhou University Researcher Updates Knowledge of Support Vector Machines (Asses sment of the Aging State for Transformer Oil-Barrier Insulation by Raman Spectro scopy and Optimized Support Vector Machine)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on are presented in a new r eport. According to news reporting out of Suzhou, People’s Republic of China, by NewsRx editors, research stated, “Accurate assessment of the agingstate of tra nsformer oil-barrier insulation is crucial for ensuring the safe and reliable op eration of powersystems.”Financial supporters for this research include Anhui Provincial Department of Ed ucation Natural ScienceResearch Key Project; Outstanding Academic And Technical Youths Backbone of Suzhou University; AnhuiProvincial Department of Education Quality Engineering Project; Ph.D. Research Start-up Fund Project;Key Laborator y of Agriculture And Rural Affairs 2023 Open Project; Key Natural Science Resear chProject of Suzhou University; Key Laboratory of Agricultural Sensors, Ministr y of Agriculture And RuralAffairs.
Suzhou UniversitySuzhouPeople’s Repu blic of ChinaAsiaEmerging TechnologiesMachine LearningSupport Vector Mac hinesVector Machines