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

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

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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.”

ShanghaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningShanghai University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jan.1)