Coarse Return Prediction in a Cement Industry’s Closed Grinding Circuit System through a Fully Connected Deep Neural Network (FCDNN) Model

Coarse Return Prediction in a Cement Industry’s Closed Grinding Circuit System through a Fully Connected Deep Neural Network (FCDNN) Model

Milling operations in various production processes are among the most important factors in determining the quality, stability, and consumption of energy. Optimizing and stabilizing the milling process is a non-linear multivariable control problem. In specific processes that deal with natural materia...

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Bibliographic Details
Main Authors: Morad Danishvar, Sebelan Danishvar, Francisco Souza, Pedro Sousa, Alireza Mousavi
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Applied Sciences
Subjects:
coarse return
prediction
deep learning
cement
milling and grinding process
event modeling
Online Access:https://www.mdpi.com/2076-3417/11/4/1361

Internet

https://www.mdpi.com/2076-3417/11/4/1361

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