The principle of maximum entropy-based two-phase optimization of fuzzy controller by evolutionary programming
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, CH | ko |
| dc.contributor.author | Yuchi, M | ko |
| dc.contributor.author | Myung, Hyun | ko |
| dc.contributor.author | Kim, Jong-Hwan | ko |
| dc.date.accessioned | 2013-03-04T08:52:00Z | - |
| dc.date.available | 2013-03-04T08:52:00Z | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.issued | 2003-08 | - |
| dc.identifier.citation | GENETIC AND EVOLUTIONARY COMPUTATION - GECCO 2003, PT I, PROCEEDINGS BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE, v.2723, pp.638 - 639 | - |
| dc.identifier.issn | 0302-9743 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/82235 | - |
| dc.description.abstract | In this paper, a two-phase evolutionary optimization scheme is proposed for obtaining optimal structure of fuzzy control rules and their associated weights, using evolutionary programming (EP) and the principle of maximum entropy (PME) based on the. previous research [1]. | - |
| dc.language | English | - |
| dc.publisher | SPRINGER-VERLAG BERLIN | - |
| dc.title | The principle of maximum entropy-based two-phase optimization of fuzzy controller by evolutionary programming | - |
| dc.type | Article | - |
| dc.identifier.wosid | 000185074200076 | - |
| dc.identifier.scopusid | 2-s2.0-35248827775 | - |
| dc.type.rims | ART | - |
| dc.citation.volume | 2723 | - |
| dc.citation.beginningpage | 638 | - |
| dc.citation.endingpage | 639 | - |
| dc.citation.publicationname | GENETIC AND EVOLUTIONARY COMPUTATION - GECCO 2003, PT I, PROCEEDINGS BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE | - |
| dc.contributor.localauthor | Myung, Hyun | - |
| dc.contributor.localauthor | Kim, Jong-Hwan | - |
| dc.contributor.nonIdAuthor | Lee, CH | - |
| dc.contributor.nonIdAuthor | Yuchi, M | - |
| dc.type.journalArticle | Article; Proceedings Paper | - |
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