首页|KTH Royal Institute of Technology Researcher Has Published New Data on Machine L earning (Predicting the Liquid Steel End-Point Temperature during the Vacuum Tan k Degassing Process Using Machine Learning Modeling)
KTH Royal Institute of Technology Researcher Has Published New Data on Machine L earning (Predicting the Liquid Steel End-Point Temperature during the Vacuum Tan k Degassing Process Using Machine Learning Modeling)
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 – Current study results on artificial in telligence have been published. According to newsreporting out of Stockholm, Sw eden, by NewsRx editors, research stated, “The present work focuses onpredictin g the steel melt temperature following the vacuum treatment step in a vacuum tan k degasser(VTD).”
KTH Royal Institute of TechnologyStock holmSwedenEuropeCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
