首页|Research Conducted at Chinese Academy of Sciences Has Provided New Information a bout Machine Learning (Gas-solid Reactor Optimization Based On Emms-dpm Simulati on and Machine Learning)
Research Conducted at Chinese Academy of Sciences Has Provided New Information a bout Machine Learning (Gas-solid Reactor Optimization Based On Emms-dpm Simulati on and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Machine Learn ing. According to news reporting originating in Beijing, People’s Republic of Ch ina, by NewsRx journalists, research stated, “Scaling-up, and optimization of in dustrial reactors mainly depend on step-by-step experiments and engineering expe rience, which is usually time-consuming, high cost, and high risk. Although nume rical simulation can reproduce high resolution details of hydrodynamics, thermal transfer, and reaction process in reactors, it is still challenging for industr ial reactors due to huge computational cost.” Funders for this research include National Natural Science Foundation of China ( NSFC), Youth Innovation Promotion Association, Chinese Academy of Sciences.
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesEngineeringMachine LearningMathematicsN umerical ModelingChinese Academy of Sciences
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