首页|Investigators at Nanjing Tech University Discuss Findings in Machine Learning (U se of Interpretable Machine Learning Approaches for Quantificationally Understan ding the Performance of Steel Fiber-reinforced Recycled Aggregate Concrete: From the ...)
Investigators at Nanjing Tech University Discuss Findings in Machine Learning (U se of Interpretable Machine Learning Approaches for Quantificationally Understan ding the Performance of Steel Fiber-reinforced Recycled Aggregate Concrete: From the ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Nanjing, People’s Rep ublic of China, by NewsRx journalists, research stated, “In this study, four mac hine learning (ML) algorithms, namely Support Vector Machine (SVM), Back-propaga tion Artificial Neural Network (BP-ANN), Adaptive Boosting (AdaBoost), and Gradi ent Boosted Regression Tree (GBRT), were employed to conduct an in-depth analysi s of the global estimation model of the compressive strength and splitting tensi le strength of steel fiber recycled aggregate concrete (SFR-RAC). A database con taining 465 compressive strength sets and 339 splitting tensile strength sets wi th different mix proportions was established, and the ML model was trained and t ested in combination with Bayesian optimization.”
NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningNanjing Tech University
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