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다중회귀분석과 신경망분석을 통한 유리섬유의 함량에 따른 폴리프로필렌의 인장 특성의 통계적 모델링

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dc.contributor.authorByoung-Ho Choi-
dc.date.accessioned2021-08-27T19:09:10Z-
dc.date.available2021-08-27T19:09:10Z-
dc.date.created2021-04-22-
dc.date.issued2018-12-13-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/15205-
dc.publisher대한기계학회-
dc.title다중회귀분석과 신경망분석을 통한 유리섬유의 함량에 따른 폴리프로필렌의 인장 특성의 통계적 모델링-
dc.title.alternativeStatistical Modeling of Tensile Properties of Glass Fiber-Filled Polypropylene Based on Multivariate Regression and Neural Network Analyse-
dc.typeConference-
dc.contributor.affiliatedAuthorByoung-Ho Choi-
dc.identifier.bibliographicCitation대한기계학회 2018년도 학술대회-
dc.relation.isPartOf대한기계학회 2018년도 학술대회-
dc.relation.isPartOf대한기계학회 2018 춘추학술대회 논문집-
dc.citation.title대한기계학회 2018년도 학술대회-
dc.citation.conferencePlaceKO-
dc.citation.conferenceDate2018-12-12-
dc.type.rimsCONF-
dc.description.journalClass2-
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공과대학 (기계공학부)
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