首页|Findings on Machine Learning Detailed by Investigators at China University of Mining and Technology (Bed Density Prediction During Fluidized Bed Scaling Up Using Machine Learning)
Findings on Machine Learning Detailed by Investigators at China University of Mining and Technology (Bed Density Prediction During Fluidized Bed Scaling Up Using Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news reportingoriginating in Xuzhou, People’s Republic of China, by NewsRx journalists, research stated, “During theprocess of amplifying a fluidized bed, phenomena such as an increase in bubble size and severe particle backmixingwill occur, resulting in poor operational stability and a reduction in the mineral particle separationeffect. This paper, simulated the process of bed amplification and recorded the change of bed density.”Funders for this research include National Natural Science Foundation of China (NSFC), ScientificResearch Foundation for High -level Talents of Anhui University of Science and Technol- ogy, NationalScience Fund for Distinguished Young Scholars.
XuzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningPowder TechnologyTechnologyChina University of Mining and Technology
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