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(A)Robust framework with statistical learning method and evolutionary improvement algorithm for process real-time optimization
통계학습방법과 진화 알고리즘에 기반한 화학 공정의 실시간 최적화

DC Field Value Language
dc.contributor.advisor윤인섭-
dc.contributor.author이동언-
dc.date.accessioned2010-01-26T10:05:37Z-
dc.date.available2010-01-26T10:05:37Z-
dc.date.copyright2005.-
dc.date.issued2005-
dc.identifier.urihttp://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000050097eng
dc.identifier.urihttps://hdl.handle.net/10371/44908-
dc.descriptionThesis(doctoral)--서울대학교 대학원 :응용화학부,2005.en
dc.format.extentviii, 128 leavesen
dc.language.isoenen
dc.publisher서울대학교 대학원en
dc.subject실시간 최적화en
dc.subjectreal-time optimizationen
dc.subject통계학습en
dc.subjectstatistical learningen
dc.subject진화알고리즘en
dc.subjectevolutionary improvementen
dc.subjectSupport Vector Machineen
dc.subjectsupport vector machineen
dc.title(A)Robust framework with statistical learning method and evolutionary improvement algorithm for process real-time optimizationen
dc.title.alternative통계학습방법과 진화 알고리즘에 기반한 화학 공정의 실시간 최적화en
dc.typeThesis-
dc.contributor.department응용화학부-
dc.description.degreeDoctoren
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College of Agriculture and Life Sciences (농업생명과학대학)Dept. of Applied Biology and Chemistry (응용생물화학부)Theses (Ph.D. / Sc.D._응용생물화학부)
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