Predicting particle size of copper ore grinding with stochastic configuration networks
D Wang, P Tian, W Dai, G Yu - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
This article presents a case study on predicting the particle size of copper ore grinding with
stochastic configuration networks (SCNs). A set of temporal data was collected from the …
stochastic configuration networks (SCNs). A set of temporal data was collected from the …
Advancing Particle Size Detection in Mineral Processing: Exploring Edge AI Solutions
FW Cardoso, MC Silva, NF de C. Meira… - International Conference …, 2023 - Springer
Effective monitoring and control of particle sizes play a pivotal role in minimizing variability
and enhancing energy efficiency within mineral processing plants. The conventional …
and enhancing energy efficiency within mineral processing plants. The conventional …
Prediction method of particle size qualification rate of high-pressure roller mill based on end-edge-cloud synergy
H Guo, MY Yan, J Zhao, L Wang - PeerJ Computer Science, 2024 - peerj.com
The pass rate of granules is an essential indicator during the high-pressure grinding
process, as it accurately reflects the processing quality. Currently, the pass rate of granules …
process, as it accurately reflects the processing quality. Currently, the pass rate of granules …