Name
Title | ||
|---|---|---|
Optimal Setting and Control for Iron Removal Process Based on Adaptive Neural Network Soft-Sensor. |
Abstract | ||
|---|---|---|
Satisfying the process technical requirements while optimizing the control of oxygen and zinc oxide is the main task for optimal operation of the iron removal process. However, due to the complicated mechanism and varied production conditions, the process is difficult to achieve optimal operation with the simple controller. The manual control, as a result, is extensively used in practice. In this ... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TSMC.2018.2815580 | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Keywords | DocType | Volume |
Iron,Ions,Process control,Inductors,Neural networks,Production,Zinc oxide | Journal | 50 |
Issue | ISSN | Citations |
7 | 2168-2216 | 0 |
PageRank | References | Authors |
0.34 | 10 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shiwen Xie | 1 | 6 | 3.82 |
| Yongfang Xie | 2 | 43 | 20.91 |
| Fanbiao Li | 3 | 521 | 21.40 |
| Chunhua Yang | 4 | 435 | 71.63 |
| Weihua Gui | 5 | 577 | 90.82 |