Robotics & Machine Learning Daily News2024,Issue(Jan.1) :101-102.

Studies from Shanghai University Reveal New Findings on Machine Learning (Machine Learning-based Multi-objective Parameter Optimization for Indium Electrorefining)

Robotics & Machine Learning Daily News2024,Issue(Jan.1) :101-102.

Studies from Shanghai University Reveal New Findings on Machine Learning (Machine Learning-based Multi-objective Parameter Optimization for Indium Electrorefining)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learning have been published. According to newsreporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, researchstated, “A novel approach utilizing support vector regression algorithm (SVR) is presented for developing forecast models of Cu and Pb concentrations in indium electrolysis products. These models are based ona subset of process parameters and purity data.”

Key words

Shanghai/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Shanghai University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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