공정모니터링 데이터 분석을 위한 편최소제곱법과 인공신경망의 비교 연구Comparisons of partial least squares method and artificial neural network for analyzing process monitoring data

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dc.contributor.advisor염봉진-
dc.contributor.advisorYum, Bong-Jin-
dc.contributor.author김영상-
dc.contributor.authorKim, Young-Sang-
dc.date.accessioned2011-12-14T04:20:08Z-
dc.date.available2011-12-14T04:20:08Z-
dc.date.issued1999-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=150772&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/41539-
dc.description학위논문(석사) - 한국과학기술원 : 산업공학과, 1999.2, [ [vii], 92 p. ]-
dc.languagekor-
dc.publisher한국과학기술원-
dc.subject실험계획법-
dc.subject공정모니터링 데이터-
dc.subject인공신경망-
dc.subject편최소제곱법-
dc.subject최적화-
dc.subjectOptimization-
dc.subjectExperimental design-
dc.subjectProcess monitoring data-
dc.subjectArtificial neural network-
dc.subjectPartial least squares method-
dc.title공정모니터링 데이터 분석을 위한 편최소제곱법과 인공신경망의 비교 연구-
dc.title.alternativeComparisons of partial least squares method and artificial neural network for analyzing process monitoring data-
dc.typeThesis(Master)-
dc.identifier.CNRN150772/325007-
dc.description.department한국과학기술원 : 산업공학과, -
dc.identifier.uid000973127-
dc.contributor.localauthor염봉진-
dc.contributor.localauthorYum, Bong-Jin-
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IE-Theses_Master(석사논문)
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