首页|Investigators from Inner Mongolia University of Technology Report New Data on Su pport Vector Machines (An Improved Parameter Identification and Radial Basis Cor rection-differential Support Vector Machine Strategies for State-of-charge ...)
Investigators from Inner Mongolia University of Technology Report New Data on Su pport Vector Machines (An Improved Parameter Identification and Radial Basis Cor rection-differential Support Vector Machine Strategies for State-of-charge ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Support Vecto r Machines have been published. According to news reporting originating in Inner Mongolia, People’s Republic of China, by NewsRx journalists, research stated, “ The State estimation and determination of time-varying model parameters are cruc ial for ensuring the safe management of lithium-ion batteries. This paper design s a limited memory recursive least square algorithm to improve the accuracy of o nline parameter identification.” Funders for this research include National Natural Science Foundation of China ( NSFC), Sichuan Science and Technology Program, Fund of Robot Technology used for Special Environment Key Laboratory of Sichuan Province, Robert Gordon University.
Inner MongoliaPeople’s Republic of Chi naAsiaEmerging TechnologiesMachine LearningSupport Vector MachinesVect or MachinesInner Mongolia University of Technology
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