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STATISTICAL MODELING OF TENSILE PROPERTIES OF TALC-FILLED POLYPROPYLENE BASED ON MULTIVARIATE REGRESSION AND NEURAL NETWORK ANALYSES

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dc.contributor.authorByoung-Ho Choi-
dc.date.accessioned2021-08-28T08:25:24Z-
dc.date.available2021-08-28T08:25:24Z-
dc.date.created2021-04-22-
dc.date.issued2017-05-08-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/24232-
dc.publisherSociety of Plastics Engineers-
dc.titleSTATISTICAL MODELING OF TENSILE PROPERTIES OF TALC-FILLED POLYPROPYLENE BASED ON MULTIVARIATE REGRESSION AND NEURAL NETWORK ANALYSES-
dc.title.alternativeSTATISTICAL MODELING OF TENSILE PROPERTIES OF TALC-FILLED POLYPROPYLENE BASED ON MULTIVARIATE REGRESSION AND NEURAL NETWORK ANALYSES-
dc.typeConference-
dc.contributor.affiliatedAuthorByoung-Ho Choi-
dc.identifier.bibliographicCitationANTEC 2017-
dc.relation.isPartOfANTEC 2017-
dc.relation.isPartOf75th Annual Technical Conference and Exhibition of the Society of Plastics Engineers, SPE ANTEC Anaheim 2017-
dc.citation.titleANTEC 2017-
dc.citation.conferencePlaceUS-
dc.citation.conferenceDate2017-05-08-
dc.type.rimsCONF-
dc.description.journalClass1-
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