Robotics & Machine Learning Daily News2024,Issue(Jan.22) :80-80.

Researchers from University of Science and Technology Beijing Report New Studies and Findings in the Area of Machine Learning (Analysis of Blast Furnace Permeability Regulation Strategy Based On Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Jan.22) :80-80.

Researchers from University of Science and Technology Beijing Report New Studies and Findings in the Area of Machine Learning (Analysis of Blast Furnace Permeability Regulation Strategy Based On Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to news reportingfrom Beijing, People’s Republic of China, by NewsRx journalists, research stated, “The permeabilityindex of a blast furnace is an important parameter to characterize the reasonable countercurrent movementbetween the charge and the gas flow. The prediction modeling and regulation of the permeability indexare of great significance for energy saving and emission reduction in the ironmaking process.”Funders for this research include National Natural Science Foundation of China (NSFC), China PostdoctoralScience Foundation.

Key words

Beijing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Gaussian Processes/Machine Learning/Support Vector Regression/University of Science and Technology Beijing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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