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DC Field | Value | Language |
dc.contributor.author | Daijin Kim | - |
dc.contributor.author | Sunha Ahn | - |
dc.date.accessioned | 2018-05-11T09:15:21Z | - |
dc.date.available | 2018-05-11T09:15:21Z | - |
dc.date.created | 2009-03-26 | - |
dc.date.issued | 2000-01 | - |
dc.identifier.issn | X | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/43455 | - |
dc.language | English | - |
dc.publisher | SPRINGER | - |
dc.relation.isPartOf | SOFT COMPUTING IN INDUSTRIAL APPLICATIONS | - |
dc.title | AN OPTIMAL VQ CODEBOOK DESIGN USING THE CO-ADAPTATION OF LEARNING AND EVOLUTION | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | SOFT COMPUTING IN INDUSTRIAL APPLICATIONS , v.1, no.1, pp.225 - 494 | - |
dc.citation.endPage | 494 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 225 | - |
dc.citation.title | SOFT COMPUTING IN INDUSTRIAL APPLICATIONS | - |
dc.citation.volume | 1 | - |
dc.contributor.affiliatedAuthor | Daijin Kim | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
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