首页|Research Study Findings from Nanchang Institute of Science and Technology Update Understanding of Machine Learning (Simulation of Natural Convection with Sinuso idal Temperature Distribution of Heat Source at the Bottom of an Enclosed Square ...)
Research Study Findings from Nanchang Institute of Science and Technology Update Understanding of Machine Learning (Simulation of Natural Convection with Sinuso idal Temperature Distribution of Heat Source at the Bottom of an Enclosed Square ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news originating from Nanchan g, People’s Republic of China, by NewsRx editors, the research stated, “The latt ice Boltzmann method is employed in the current study to simulate the heat trans fer characteristics of sinusoidal-temperature-distributed heat sources at the bo ttom of a square cavity under various conditions, including different amplitudes , phase angles, initial positions, and angular velocities. Additionally, a machi ne learning-based model is developed to accurately predict the Nusselt number in such a sinusoidal temperature distribution of heat source at the bottom of a sq uare cavity.” Financial supporters for this research include Science And Technology Research P roject of Education Department of Jiangxi Province; Research Project of Nanchang Institute of Science And Technology.
Nanchang Institute of Science and Techno logyNanchangPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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