首页|New Findings Reported from Wuhan University of Technology Describe Advances in Support Vector Machines (A Method for Identifying External Short-Circuit Faults in Power Transformers Based on Support Vector Machines)
New Findings Reported from Wuhan University of Technology Describe Advances in Support Vector Machines (A Method for Identifying External Short-Circuit Faults in Power Transformers Based on Support Vector Machines)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Investigators publish new report on . According to news originating from Wuhan, People’s Republic of China, by NewsRx editors, the research stated, “Being a vital component of electrical power syste ms, transformers significantly influence the system stability and reliability of power supplies.” Funders for this research include Guangdong Key Laboratory of Electric Power Equ ipment Reliability, Electric Power Research Institute of Guangdong Power Grid Co . Ltd..
Wuhan University of TechnologyWuhanP eople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningSuppor t Vector MachinesVector Machines
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