Computational modeling and prediction on viscosity of slags by big data mining

HIGHLIGHTS

• who: Ao Huang et al. from the The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, China have published the Article: Computational Modeling and Prediction on Viscosity of Slags by Big Data Mining, in the Journal: (JOURNAL)
• what: In this study a more advanced dual-stage predictive modeling approach is proposed to accurately analyze and predict the viscosity of slag.
• how: In this study slag with no less than 10P viscosity can be considered as a high sample and the remaining are labeled as low. It indicates that . . .
  

   

  

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