摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的最新研究结果已经发表。据新闻报道NewsRx记者从中国人民代表大会辽宁报道，研究称，"基于热轧钢非线性、强耦合、多扰动的复杂特性多尺度过程动态控制多目标优化系统的研制参数具有挑战性。在本文中，将物理机构耦合到机器中的nov el解提出了学习建模方法,并通过实验分析充分证明了其可行性验证和工业试制。
Abstract
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.”
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