HIGHLIGHTS
- who: Morad Danishvar and colleagues from the Department of Electronics and Computer Engineering, College of Engineering, Design and Physical Sciences have published the research work: Coarse Return Prediction in a Cement Industry’s Closed Grinding Circuit System through a Fully Connected Deep Neural Network (FCDNN) Model, in the Journal: (JOURNAL)
- how: This paper network (FCDNN) model to predict This paper proposes proposesaafully fullyconnected connecteddeep deepneural neural_network (FCDNN) model to prethe upcoming coarse return in the cement grinding process upuptoto1515[min] dict the upcoming coarse return in the cement grinding process ahead. ahead. In this this . . .
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