Findings from Beihang University Update Understanding of Machine Learning (Effic ient Learning Strategy for Predicting Glass Forming Ability In Imbalanced Datase ts of Bulk Metallic Glasses)
Findings from Beihang University Update Understanding of Machine Learning (Effic ient Learning Strategy for Predicting Glass Forming Ability In Imbalanced Datase ts of Bulk Metallic Glasses)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating from Beijing, People's Republic of China, by NewsRx correspondents, research stated, “The prediction of glass forming ability (GFA) and various properties in bulk metallic glasses (BM Gs) pose a challenge due to the unique disordered atomic structure in this type of material. Machine learning shows the potential ability to find a way out.”
Key words
Beijing/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Beihang University
NETL
NSTL