ANFIS and statistical based approach to prediction the peak pressure load of concrete pipes including glass fiber

dc.contributor.authorEmiroğlu, Mehmet
dc.contributor.authorBeycioğlu, Ahmet
dc.contributor.authorYıldız, Servet
dc.date.accessioned2020-04-30T22:39:25Z
dc.date.available2020-04-30T22:39:25Z
dc.date.issued2012
dc.departmentDÜ, Kaynaşlı Meslek Yüksekokuluen_US
dc.descriptionEmiroglu, Muhammet/0000-0002-3603-0274; Emiroglu, Mehmet/0000-0002-0214-4986en_US
dc.descriptionWOS: 000297823300069en_US
dc.description.abstractIn this paper, Adaptive Neural Fuzzy Inference System (ANFIS) and Multiple Linear Regression (MLR) models are discussed to determine peak pressure load measurements of the 0, 0.2, 0.4 and 0.6% glass fibers (by weight) reinforced concrete pipes having 200, 300, 400, 500 and 600 mm diameters. For comparing the ANFIS, MLR and experimental results, determination coefficient (R-2), root mean square error (RMSE) and standard error of estimates (SEE) statistics were used as evaluation criteria. It is concluded that ANFIS and MLR are practical methods for predicting the peak pressure load (PPL) values of the concrete pipes containing glass fibers and PPL values can be predicted using ANFIS and MLR without attempting any experiments in a quite short period of time with tiny error rates. Furthermore ANFIS model has the predicting potential better than MLR. (C) 2011 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.eswa.2011.08.149en_US
dc.identifier.endpage2883en_US
dc.identifier.issn0957-4174
dc.identifier.issn1873-6793
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2877en_US
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2011.08.149
dc.identifier.urihttps://hdl.handle.net/20.500.12684/2715
dc.identifier.volume39en_US
dc.identifier.wosWOS:000297823300069en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofExpert Systems With Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectConcrete pipeen_US
dc.subjectPeak pressure loaden_US
dc.subjectGlass fiberen_US
dc.subjectANFISen_US
dc.subjectMultiple Linear Regressionen_US
dc.titleANFIS and statistical based approach to prediction the peak pressure load of concrete pipes including glass fiberen_US
dc.typeArticleen_US

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