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Prediction of the effect of varying cure conditions and w/c ratio on the compressive strength of concrete using artificial neural networks

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dc.contributor.authorYaprak, H
dc.contributor.authorKaraci, A
dc.contributor.authorDemir, I
dc.date.accessioned2023-04-15T22:12:42Z
dc.date.available2023-04-15T22:12:42Z
dc.date.issued2013.01.01
dc.identifier.doi10.1007/s00521-011-0671-x
dc.identifier.eissn1433-3058
dc.identifier.endpage141
dc.identifier.issn0941-0643
dc.identifier.issue1
dc.identifier.startpage133
dc.identifier.urihttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=dspace_ku&SrcAuth=WosAPI&KeyUT=WOS:000313062100015&DestLinkType=FullRecord&DestApp=WOS
dc.identifier.urihttps://hdl.handle.net/20.500.12597/9017
dc.identifier.volume22
dc.identifier.wosWOS:000313062100015
dc.relation.ispartofNEURAL COMPUTING & APPLICATIONS
dc.titlePrediction of the effect of varying cure conditions and w/c ratio on the compressive strength of concrete using artificial neural networks
dc.typeArticle
dspace.entity.typeWos
relation.isPublicationOfWosa411cb72-9575-4ce3-8dac-8bb66ea9926b
relation.isPublicationOfWos.latestForDiscoverya411cb72-9575-4ce3-8dac-8bb66ea9926b

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