首页|Investigators from Beijing University of Technology Have Reported New Data on Ma chine Learning (Machine Learning Based Modeling for Predicting the Compressive S trength of Solid Waste Materialincorporated Magnesium Phosphate Cement)
Investigators from Beijing University of Technology Have Reported New Data on Ma chine Learning (Machine Learning Based Modeling for Predicting the Compressive S trength of Solid Waste Materialincorporated Magnesium Phosphate Cement)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingout of Beijing, People’s Republic of China, by NewsRx editors, research stated, “In this study, a compressivestreng th prediction model for Magnesium Phosphate Cement containing solid waste materi als(SW-MPC) was developed using machine learning (ML) techniques. Firstly, a da tabase of SW-MPC compressive strength was established through the selection of s olid waste materials based on their chemicalcompositions.”
BeijingPeople’s Republic of ChinaAsi aAnionsChemicalsCyborgsEmerging TechnologiesLight MetalsMachine Lear ningMagnesiumMagnesium PhosphatePhosphatesPhosphoric AcidsBeijing Univ ersity of Technology
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