Robotics & Machine Learning Daily News2024,Issue(Mar.14) :99-99.

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 ...)

Robotics & Machine Learning Daily News2024,Issue(Mar.14) :99-99.

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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Abstract

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.

Key words

Inner Mongolia/People’s Republic of Chi na/Asia/Emerging Technologies/Machine Learning/Support Vector Machines/Vect or Machines/Inner Mongolia University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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