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MODELING AND COMPARISON OF BONDING STRENGTH OF IMPREGNATED WOOD MATERIAL BY USING DIFFERENT METHODS: ARTIFICIAL NEURAL NETWORK AND MULTIPLE LINEAR REGRESSION

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dc.contributor.authorAkyuz, I
dc.contributor.authorErsen, N
dc.contributor.authorTiryaki, S
dc.contributor.authorBayram, BC
dc.contributor.authorAkyuz, KC
dc.contributor.authorPeker, H
dc.date.accessioned2023-04-18T02:53:10Z
dc.date.available2023-04-18T02:53:10Z
dc.date.issued2019.01.01
dc.identifier.doi
dc.identifier.eissn
dc.identifier.endpage497
dc.identifier.issn1336-4561
dc.identifier.issue3
dc.identifier.startpage483
dc.identifier.urihttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=dspace_ku&SrcAuth=WosAPI&KeyUT=WOS:000475298300010&DestLinkType=FullRecord&DestApp=WOS
dc.identifier.urihttps://hdl.handle.net/20.500.12597/10193
dc.identifier.volume64
dc.identifier.wosWOS:000475298300010
dc.relation.ispartofWOOD RESEARCH
dc.titleMODELING AND COMPARISON OF BONDING STRENGTH OF IMPREGNATED WOOD MATERIAL BY USING DIFFERENT METHODS: ARTIFICIAL NEURAL NETWORK AND MULTIPLE LINEAR REGRESSION
dc.typeArticle
dspace.entity.typeWos

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