首页|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)
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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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.
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesGaussian ProcessesMachine LearningSupport Vector RegressionUniversity of Science and Technology Beijing
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