首页|New Machine Learning Study Results Reported from Nanjing University of Science a nd Technology (Hardness-guided Machine Learning for Tungsten Alloy Strength Pred iction)
New Machine Learning Study Results Reported from Nanjing University of Science a nd Technology (Hardness-guided Machine Learning for Tungsten Alloy Strength Pred iction)
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 – New research on Machine Learning is th e subject of a report. According to news reporting originating from Jiangsu, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Yield stren gth determines the material’s resistance to permanent deformation. However, the traditional estimation method based on the triple relationship of Vickers hardne ss exhibits limited accuracy when applied to tungsten heavy alloys (WHA) with tw o-phase structure.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
JiangsuPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningTransition ElementsTungst enNanjing University of Science and Technology
NETL
NSTL
