首页|Findings from University of Transport Technology Broaden Understanding of Machine Learning (Interpretable Machine Learning Model for Evaluating Mechanical Properties of Concrete Made With Recycled Concrete Aggregate)
Findings from University of Transport Technology Broaden Understanding of Machine Learning (Interpretable Machine Learning Model for Evaluating Mechanical Properties of Concrete Made With Recycled Concrete Aggregate)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating from Hanoi, Vietnam, by NewsRx correspondents, research stated, “The main objective of this paper is to use the data-driven approach to predict and evaluate the mechanical properties of concretemade with recycled concrete aggregate (RCA), including compressive strength and elastic modulus. Using358 data samples, including 10 input variables, 10 popular machine learning (ML) algorithms are introducedto select the best ML performance model for predicting RCA concrete’s compressive strength and elasticmodulus.”
HanoiVietnamAsiaCyborgsEmerging TechnologiesMachine LearningUniversity of Transport Technology
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