首页|New Findings on Machine Learning Described by Investigators at KTH Royal Institu te of Technology (Inter-property Correlation of Al2o3-cao-mgo-sio2 Quaternary Sl ag System In Blast Furnace Ironmaking)
New Findings on Machine Learning Described by Investigators at KTH Royal Institu te of Technology (Inter-property Correlation of Al2o3-cao-mgo-sio2 Quaternary Sl ag System In Blast Furnace Ironmaking)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting out of Stockholm, Sweden, by NewsRx editors, research stated, “Exploring the correlation betweenthe density and the thermo-physical properties of the Al2O3-CaO-MgO-SiO2 quaternary slag sy stem isa subject of great interest in the domain of high alumina slag systems. This work attempts to establishcorrelations between (a) molar volume/density wi th enthalpy of mixing and (b) molar volume/density withslag viscosity, for the quaternary slag systems.”
StockholmSwedenEuropeCyborgsEmer ging TechnologiesMachine LearningKTH Royal Institute of Technology
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