首页|Recent Studies from Northeastern University Add New Data to Machine Learning (Fl exible Cooling Strategy for Hot-rolled Steel Based On Physical Theories Coupled With Machine Learning)
Recent Studies from Northeastern University Add New Data to Machine Learning (Fl exible Cooling Strategy for Hot-rolled Steel Based On Physical Theories Coupled With Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting from Liaoning, People’s Rep ublic of China, by NewsRx journalists, research stated, “Based onthe complex ch aracteristics of nonlinearity, strong coupling, and multi-disturbance in hot-rol ling steelproduction, developing a multi-objective optimization system for dyna mic control of multi-scale processparameters is challenging. In this paper, nov el solutions coupling physical mechanisms into the machinelearning modeling are proposed, and their feasibility has been fully demonstrated by analyzing experi mentalverification and industrial trial production.”
LiaoningPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningNortheastern University
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