首页|New Machine Learning Findings from Tsinghua University Described (Design of Fabr ic Rubber Composite Seals With Multilevel Structure Using Machine Learning Metho d)
New Machine Learning Findings from Tsinghua University Described (Design of Fabr ic Rubber Composite Seals With Multilevel Structure Using Machine Learning Metho d)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “The multilevelstructure o f the fabric and rubber in the fabric rubber composite seals makes it challengin g to designthe mechanical properties and the seal performance of the seal struc ture efficiently and accurately. Inthe present work, a machine learning framewo rk is proposed to predict the sealing performance, as wellas the mechanical pro perties, of fabric rubber composite seal combining the finite element and artifi cialintelligence methods.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningTsinghua University
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