Findings from University of Science and Technology Beijing Has Provided New Data on Machine Learning (Enhanced Steelmaking Cost Optimization and Real-time Alloy ing Element Yield Prediction: a Ferroalloy Model Based On Machine Learning and . ..)

Robotics & Machine Learning Daily News2024，Issue(Oct.11) ：70-70.

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Findings from University of Science and Technology Beijing Has Provided New Data on Machine Learning (Enhanced Steelmaking Cost Optimization and Real-time Alloy ing Element Yield Prediction: a Ferroalloy Model Based On Machine Learning and . ..)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news originating from Beijing, People’s Republic of Chi na, by NewsRx correspondents, research stated, “The production of ferroalloys is a resource-intensive and energy-consuming process. To mitigate its adverse envi ronmental effects, steel companies should implement a range of measures aiming a t enhancing the utilization rate of ferroalloys.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/University of Science and T echnology Beijing

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出版年

2024

Robotics & Machine Learning Daily News

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