DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 염봉진 | - |
dc.contributor.advisor | Yum, Bong-Jin | - |
dc.contributor.author | 김영상 | - |
dc.contributor.author | Kim, Young-Sang | - |
dc.date.accessioned | 2011-12-14T04:20:08Z | - |
dc.date.available | 2011-12-14T04:20:08Z | - |
dc.date.issued | 1999 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=150772&flag=dissertation | - |
dc.identifier.uri | http://hdl.handle.net/10203/41539 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 산업공학과, 1999.2, [ [vii], 92 p. ] | - |
dc.language | kor | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | 실험계획법 | - |
dc.subject | 공정모니터링 데이터 | - |
dc.subject | 인공신경망 | - |
dc.subject | 편최소제곱법 | - |
dc.subject | 최적화 | - |
dc.subject | Optimization | - |
dc.subject | Experimental design | - |
dc.subject | Process monitoring data | - |
dc.subject | Artificial neural network | - |
dc.subject | Partial least squares method | - |
dc.title | 공정모니터링 데이터 분석을 위한 편최소제곱법과 인공신경망의 비교 연구 | - |
dc.title.alternative | Comparisons of partial least squares method and artificial neural network for analyzing process monitoring data | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 150772/325007 | - |
dc.description.department | 한국과학기술원 : 산업공학과, | - |
dc.identifier.uid | 000973127 | - |
dc.contributor.localauthor | 염봉진 | - |
dc.contributor.localauthor | Yum, Bong-Jin | - |
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