首页|Investigators at Wroclaw University of Science & Technology Discus s Findings in Machine Learning (Comparative Analysis of Cement Grade and Cement Strength As Input Features for Machine Learning-based Concrete Strength Predicti on)
Investigators at Wroclaw University of Science & Technology Discus s Findings in Machine Learning (Comparative Analysis of Cement Grade and Cement Strength As Input Features for Machine Learning-based Concrete Strength Predicti on)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting originating from Wroclaw, P oland, by NewsRx correspondents, research stated, “Machinelearning (ML) has gai ned recognition as a valuable tool for predicting concrete properties. This stud yinvestigated the influence of input features related to cement strength on the performance of ML models.”
WroclawPolandEuropeCyborgsEmergi ng TechnologiesMachine LearningWroclaw University of Science & Technology
NETL
NSTL
