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What is Ventilation Prediction in Cement Ball Mill about?

The article investigates the relationships between operational variables and ventilation factors in an industrial cement raw ball mill using a Boosted Neural Network (BNN) model. The study found that mill outlet pressure and separator fan ampere are the most significant predictors of ventilation, achieving a root mean square error (RMSE) of 0.6, outperforming traditional models like random forest and support vector regression. This research aims to enhance milling efficiency and optimize the design of commi

Author

ghazalifilter

Language

EN