Optimization of the sag grinding process using statistical analysis and machine learning: a case study of the chilean copper mining industry

HIGHLIGHTS

• who: Manuel Saldau00f1a and colleagues from the Departamento de Ingenieru00eda Quu00edmica y Procesos de Minerales, Universidad de Antofagasta have published the paper: Optimization of the SAG Grinding Process Using Statistical Analysis and Machine Learning: A Case Study of the Chilean Copper Mining Industry, in the Journal: Materials 2023, 3220 of /2023/
• what: In Olivier et_al , decision trees were used to model the decision-making of the operator when deciding whether to remove material of critical size from the circuit to prevent the mill from overloading, demonstrating that the model specification can be used to identify . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.