Publication:
Modeling of Compressive Strength Parallel to Grain of Heat Treated Scotch Pine (Pinus sylvestris L.) Wood by Using Artificial Neural Network

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dc.authorscopusid25222138900
dc.authorscopusid36452706100
dc.authorscopusid20435315600
dc.authorscopusid56890923000
dc.contributor.authorYapici, F.
dc.contributor.authorEsen, R.
dc.contributor.authorErkaymaz, O.
dc.contributor.authorBas, H.
dc.date.accessioned2020-06-21T13:51:12Z
dc.date.available2020-06-21T13:51:12Z
dc.date.issued2015
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Yapici] Fatih, Department of Industrial Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Esen] Raşit, Department of Furniture and Decoration, Karabük Üniversitesi, Karabuk, Turkey; [Erkaymaz] Okan, Department of Furniture and Decoration, Karabük Üniversitesi, Karabuk, Turkey; [Bas] Hasan, Department of Computer Engineering, Zonguldak Bulent Ecevit University, Zonguldak, Zonguldak, Turkeyen_US
dc.description.abstractIn this study, the compressive strength of heat treated Scotch Pine was modeled using artificial neural network. The compressive strength (CS) value parallel to grain was determined after exposing the wood to heat treatment at temperature of 130, 145, 160, 175, 190 and 205ºC for 3, 6, 9, 12 hours. The experimental data was evaluated by usi ng multiple variance analysis. Secondly, the effect of heat treatment on the CS of samples was modeled by using artificial neural network (ANN). © 2015, Journal Drvna Industrija. All rights reserved.en_US
dc.identifier.doi10.5552/drind.2015.1434
dc.identifier.endpage352en_US
dc.identifier.issn0012-6772
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-84953857259
dc.identifier.scopusqualityQ2
dc.identifier.startpage347en_US
dc.identifier.urihttps://doi.org/10.5552/drind.2015.1434
dc.identifier.volume66en_US
dc.identifier.wosWOS:000368913700011
dc.identifier.wosqualityQ3
dc.language.isoenen_US
dc.publisherJournal Drvna Industrija beljo@sumfak.hren_US
dc.relation.ispartofDrvna Industrijaen_US
dc.relation.journalDrvna Industrijaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial Neural Networken_US
dc.subjectCompressive Strengthen_US
dc.subjectHeat Treatmenten_US
dc.subjectWooden_US
dc.titleModeling of Compressive Strength Parallel to Grain of Heat Treated Scotch Pine (Pinus sylvestris L.) Wood by Using Artificial Neural Networken_US
dc.title.alternativeModeliranje Tlačne Čvrstoće Paralelno S Vlakancima Toplinski Obrađenog Drva Škotskog Bora (Pinus sylvestris L.) S Pomoću Umjetne Neuronske Mrežeen_US
dc.typeArticleen_US
dspace.entity.typePublication

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