Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/113068
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DC Field | Value | Language |
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dc.contributor.author | Zhang, B. | - |
dc.contributor.author | Yang, C. | - |
dc.contributor.author | Zhu, H. | - |
dc.contributor.author | Shi, P. | - |
dc.contributor.author | Gui, W. | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | IEEE Transactions on Fuzzy Systems, 2018; 26(3):1744-1756 | - |
dc.identifier.issn | 1063-6706 | - |
dc.identifier.issn | 1941-0034 | - |
dc.identifier.uri | http://hdl.handle.net/2440/113068 | - |
dc.description | Date of publication September 18, 2017; date of current version May 31, 2018. | - |
dc.description.abstract | In copper removal process control, the commonly used technique is the so-called rule-based control, which is largely dependent upon the operators’ experience, likely leading to unstable process production due to each individual’s characters and favors. In this paper, to enhance the effectiveness of process control, a controllable-domain-based fuzzy rule extraction strategy is proposed. New definitions of representative controlled samples are introduced, by which the input variable space is divided into several controllable domains by applying positive and unlabeled learning algorithm. Also, the unreasonable removed and the controllable domains are accordingly determined. Then, support vector machine method is employed to extract fuzzy control rules for different domains. Finally, an industrial experiment is presented to demonstrate the effectiveness and advantages of the developed new design scheme. | - |
dc.description.statementofresponsibility | Bin Zhang, Chunhua Yang, Hongqiu Zhu, Peng Shi, and Weihua Gui | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.rights | © 2017 IEEE | - |
dc.source.uri | http://dx.doi.org/10.1109/tfuzz.2017.2751000 | - |
dc.subject | Copper removal; fuzzy logic; positive and unlabeled learning (PU learning); rule extraction; support vector machine (SVM) | - |
dc.title | Controllable-domain-based fuzzy rule extraction for copper removal process control | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1109/TFUZZ.2017.2751000 | - |
dc.relation.grant | http://purl.org/au-research/grants/arc/DP140102180 | - |
dc.relation.grant | http://purl.org/au-research/grants/arc/LP140100471 | - |
dc.relation.grant | http://purl.org/au-research/grants/arc/LE150100079 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Shi, P. [0000-0001-8218-586X] | - |
Appears in Collections: | Aurora harvest 8 Electrical and Electronic Engineering publications |
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