首页|Recent Findings from University of Ghent Has Provided New Information about Machine Learning (Mechanical Properties Prediction of Blast Furnace Slag and Fly Ash-based Alkali-activated Concrete By Machine Learning Methods)
Recent Findings from University of Ghent Has Provided New Information about Machine Learning (Mechanical Properties Prediction of Blast Furnace Slag and Fly Ash-based Alkali-activated Concrete By Machine Learning Methods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learning have been published. According to newsreporting originating in Ghent, Belgium, by NewsRx journalists, research stated, “In this paper, 871 datawere collected from literature and trained by the 4 representative machine learning methods, in order tobuild a robust compressive strength predictive model for slag and fly ash based alkali activated concretes.The optimum models of each machine learning method were verified by 4 validation metrics and furthercompared with an empirical formula and experimental results.”
GhentBelgiumEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Ghent
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