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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gong Jinhong Yang Hui Zhong Lusheng |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Electronics and Electrical Engineering, East China Jiaotong University, Nanchang 330013, China (Gong Jinhong; Yang Hui; Zhong Lusheng) |
| Abstract | On the characteristics of complex rare-earth extraction process and achieving automatic control technology hardly, while the Rough set theory has the unique merit of having no use for the outside information or the priori knowledge when dealing with ambiguous information and its adoption in Case-Based Reasoning(CBR) might optimize the cases library then draw the corresponding conclusion quickly, the paper lodge CBR based on Rough set in rare-earth extraction process. It can optimize the manual enactment in the rare-earth extraction process in place of the enactment to feeding liquid flowrate and forecast the information of component content. An industrial experiment in the extraction process proves this CBR method can achieve the intelligent optimal control for the process effectively and obtain good forecast-value of component content. |
| Starting Page | 1701 |
| Ending Page | 1706 |
| File Size | 460028 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424462636 |
| e-ISBN | 9787894631046 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Chinese Association of Aut |
| Subject Keyword | Process control Optimal control Rough Set Cognition Libraries Optimal Setting Data mining Separation processes Rare Earth Extract Case Based Reasoning Construction industry |
| Content Type | Text |
| Resource Type | Article |
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