Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete

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dc.authorid0000-0002-7585-2609
dc.authorid0000-0003-3459-329X
dc.contributor.authorOezcan, Fatih
dc.contributor.authorAtis, Cengiz D.
dc.contributor.authorKarahan, Okan
dc.contributor.authorUncuoglu, Erdal
dc.contributor.authorTanyildizi, Harun
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2009
dc.departmentNiğde ÖHÜ
dc.description.abstractIn this study, an artificial neural network (ANN) and fuzzy logic (FL) study were developed to predict the compressive strength of silica fume concrete. A data set of a laboratory work, in which a total of 48 concretes were produced, was utilized in the ANNs and FL study. The concrete mixture parameters were four different water-cement ratios, three different cement dosages and three partial silica fume replacement ratios. Compressive strength of moist cured specimens was measured at five different ages. The obtained results with the experimental methods were compared with ANN and FL results. The results showed that ANN and FL can be alternative approaches for the predicting of compressive strength of silica fume concrete. (C) 2009 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.advengsoft.2009.01.005
dc.identifier.endpage863
dc.identifier.issn0965-9978
dc.identifier.issn1873-5339
dc.identifier.issue9
dc.identifier.scopus2-s2.0-67349263822
dc.identifier.scopusqualityQ1
dc.identifier.startpage856
dc.identifier.urihttps://dx.doi.org/10.1016/j.advengsoft.2009.01.005
dc.identifier.urihttps://hdl.handle.net/11480/5019
dc.identifier.volume40
dc.identifier.wosWOS:000266787100013
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherELSEVIER SCI LTD
dc.relation.ispartofADVANCES IN ENGINEERING SOFTWARE
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectSilica fume
dc.subjectConcrete
dc.subjectCompressive strength
dc.subjectNeural networks
dc.subjectFuzzy logic
dc.titleComparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete
dc.typeArticle

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