首页|Findings from University of Science and Technology Beijing Broaden Understanding of Machine Learning (Model construction of corrosion resistance of alloying ele ments for low alloy steel in marine atmospheric corrosive environment based on . ..)
Findings from University of Science and Technology Beijing Broaden Understanding of Machine Learning (Model construction of corrosion resistance of alloying ele ments for low alloy steel in marine atmospheric corrosive environment based on . ..)
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 Daily News Daily News – Current study results on artificial in telligence have been published. According to news originating from Beijing, Peop le’s Republic of China, by NewsRx correspondents, research stated, “The study fo cused on constructing a machine learning model, considering the interaction of a lloying elements on corrosion resistance of low alloy steels in the marine atmos pheric environment.” Funders for this research include National Key R&D Program of China ; National Natural Science Foundation of China.
University of Science and Technology Bei jingBeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
