首页|Findings from Tsinghua University Broaden Understanding of Machine Learning (Hea t Convection Enhancement of Unilateralheated Square Channels By Inclined Ribs O ptimized By Machine Learning)
Findings from Tsinghua University Broaden Understanding of Machine Learning (Hea t Convection Enhancement of Unilateralheated Square Channels By Inclined Ribs O ptimized By Machine Learning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Beijing, Peopl e’s Republic of China, by NewsRx journalists, research stated,“Optimizing struc ture parameters is pivotal in enhancing convective heat. This study leverages ma chinelearning methods to establish a relationship between input parameters and targets, providing a novelapproach to structure parameter optimization in conve ctive heat transfer of a unilateral-heated squarechannel with inclined ribs.”
BeijingPeople’s Republic of ChinaAsi aComputational Fluid DynamicsCyborgsEmerging TechnologiesFluid MechanicsMachine LearningTsinghua University
NETL
NSTL
