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)
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).
Key words
Jiangsu/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Transition Elements/Tungst en/Nanjing University of Science and Technology
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