COMPARISION OF THE MULTIPLE REGRESSION, ANN, AND ANFIS MODELS FOR PREDICTION OF MOE VALUE OF OSB PANELS

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dc.authoridSenyer, Nurettin/0000-0002-2324-9285
dc.authoridesen, rasit/0000-0003-1710-7915
dc.contributor.authorYapici, Fatih
dc.contributor.authorSenyer, Nurettin
dc.contributor.authorEsen, Rasit
dc.date.accessioned2024-09-29T16:11:23Z
dc.date.available2024-09-29T16:11:23Z
dc.date.issued2016
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThis research investigates the prediction of modulus of elasticity (MOE) properties, which is the most important properties in many applications, of the oriented strand board (OSB) produced under different conditions (pressing time, pressing pressure, pressing temperature and adhesive ratios) by multiple regression, artificial neural network (ANN) and adaptive Neurofuzzy inference system (ANFIS). Software computing techniques are now being used instead of statistical methods. It was found that the constructed ANFIS exhibited a higher performance than multiple regression and ANN for predicting MOE.Software computing techniques are very useful for precision industrial applications and, also determining which method gives the highest accurate result.en_US
dc.description.sponsorshipTUBITAK (The Scientific and Technological Research Council of Turkey) [111O290]en_US
dc.description.sponsorshipThis research project would not have been possible without the support of organization. So, this research was supported by TUBITAK (The Scientific and Technological Research Council of Turkey, project number: 111O290). I offer my sincere appreciation for the provided opportunities by this government agency.en_US
dc.identifier.endpage754en_US
dc.identifier.issn1336-4561
dc.identifier.issue5en_US
dc.identifier.startpage741en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8405
dc.identifier.volume61en_US
dc.identifier.wosWOS:000389620600007en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherSlovak Forest Products Research Insten_US
dc.relation.ispartofWood Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOSBen_US
dc.subjectmultiple regressionen_US
dc.subjectANNen_US
dc.subjectANFISen_US
dc.subjectmechanical propertiesen_US
dc.titleCOMPARISION OF THE MULTIPLE REGRESSION, ANN, AND ANFIS MODELS FOR PREDICTION OF MOE VALUE OF OSB PANELSen_US
dc.typeArticleen_US

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