首页|Reports from Qujing Normal University Describe Recent Advances in Machine Learni ng (Proposed Numerical and Machine Learning Models for Fiber-reinforced Polymer Concrete-steel Hollow and Solid Elliptical Columns)
Reports from Qujing Normal University Describe Recent Advances in Machine Learni ng (Proposed Numerical and Machine Learning Models for Fiber-reinforced Polymer Concrete-steel Hollow and Solid Elliptical Columns)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news originating fromQujing, People’s Republic of China , by NewsRx correspondents, research stated, “This study employsa hybrid approa ch, integrating finite element method (FEM) simulations with machine learning (M L)techniques to investigate the structural performance of double-skin tubular c olumns (DSTCs) reinforcedwith glass fiber-reinforced polymer (GFRP).”
QujingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningQujing Normal University
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