首页|Reports Summarize Machine Learning Study Results from Southeast University (Mach ine Learning Driven Bond Performance Prediction Between Frp Bars and Coral Aggre gate Concrete)
Reports Summarize Machine Learning Study Results from Southeast University (Mach ine Learning Driven Bond Performance Prediction Between Frp Bars and Coral Aggre gate Concrete)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators discuss new findings in Machine Lea rning. According to news reporting originating from Nanjing, People's Republic o f China, by NewsRx correspondents, research stated, "This study aims to apply ma chine learning (ML) methods to predict the failure mode and bond stress between FRP bars and coral aggregate concrete (CAC). The central pull test dataset of 22 1 FRP bars and CAC was synthesized for training and testing six supervised ML mo dels, including Artificial Neural Network (ANN), Decision Tree, K-Nearest Neighb ors (KNN), Random Forest, Support Vector Machine (SVM) and eXtreme Gradient Boos ting Trees (XGBoost)."
NanjingPeople's Republic of ChinaAsi aAlgorithmsCyborgsEmerging TechnologiesMachine LearningSoutheast Unive rsity
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