首页|Researchers at Yangzhou University Release New Data on Machine Learning (Machine Learning Predictions for Bending Capacity of Ecc-concrete Composite Beams Hybri d Reinforced With Steel and Frp Bars)
Researchers at Yangzhou University Release New Data on Machine Learning (Machine Learning Predictions for Bending Capacity of Ecc-concrete Composite Beams Hybri d Reinforced With Steel and Frp Bars)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Jian gsu, People’s Republic of China, by NewsRx correspondents, researchstated, “Thi s paper explores the development of the most suitable machine learning models fo r predictingthe bending capacity of steel and FRP (Fiber Reinforced Ploymer) ba rs hybrid reinforced ECC (EngineeredCementitious Composites)-concrete composite beams. Five different machine learning models, namelySupport Vector Regression (SVR), Extreme Gradient Boosting (XGBoost), Multilayer Perceptron (MLP),Random Forest (RF), and Extremely Randomized Trees (ERT), were employed.”
JiangsuPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningYangzhou University
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