首页|Recent Findings from University of Science and Technology Beijing Provides New I nsights into Machine Learning (Rapid Accomplishment of Cost-effective and Macro- defect-free Lpbf-processed Ti Parts Based On Deep Data Augmentation)
Recent Findings from University of Science and Technology Beijing Provides New I nsights into Machine Learning (Rapid Accomplishment of Cost-effective and Macro- defect-free Lpbf-processed Ti Parts Based On Deep Data Augmentation)
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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, “Machine learning methods can accurately predict the density of as-built parts by laser power bed fusion (LPBF), providing a reference for optimizing process parameters. However, obtaining massive training data via experiments is time-consuming and high-cost .”
BeijingPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningUniversity of Science and T echnology Beijing
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