The use of an artificial neural network for predicting the gloss of thermally densified wood veneers

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dc.authorid0000-0001-8216-0048en_US
dc.authorid0000-0003-0884-2555en_US
dc.contributor.authorÖzşahin, Şükrü
dc.contributor.authorSinger, Hilal
dc.date.accessioned2024-01-15T13:00:03Z
dc.date.available2024-01-15T13:00:03Z
dc.date.issued2022en_US
dc.departmentBAİBÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractIn this study, an artificial neural network (ANN) model was developed to predict the gloss of thermally densified wood veneers. A custom application created with MATLAB codes was employed for the development of the multilayer feed-forward ANN model. The wood species, temperature, pressure, measurement direction, and angle of incidence were considered as the model inputs, while the gloss was the output of the ANN model. Model performance was evaluated by using the mean absolute percentage error (MAPE), the root mean square error (RMSE), and the coefficient of determination (R-2). It was observed that the ANN model yielded very satisfactory results with acceptable deviations. The MAPE, RMSE, and R-2 values of the testing period of the ANN model were found as 8.556%, 1.245, and 0.9814, respectively. Consequently, this study could be useful for the wood industry to predict the gloss with a smaller number of labour consuming experimental activities.en_US
dc.identifier.citationÖzşahin, Ş., & Singer, H. (2021). The use of an artificial neural network for predicting the gloss of thermally densified wood veneers. Baltic Forestry, 27(2).en_US
dc.identifier.doi10.46490/BF422
dc.identifier.endpage278en_US
dc.identifier.issn1392-1355
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85122475955en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage271en_US
dc.identifier.urihttp://dx.doi.org/10.46490/BF422
dc.identifier.urihttps://hdl.handle.net/20.500.12491/11943
dc.identifier.volume27en_US
dc.identifier.wosWOS:000766781000011en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorSinger, Hilal
dc.language.isoenen_US
dc.publisherInst Forestry Lrcafen_US
dc.relation.ispartofBaltic Forestryen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial Neural Networken_US
dc.subjectGlossen_US
dc.subjectPredictionen_US
dc.subjectVeneeren_US
dc.subjectWooden_US
dc.subjectSurface-Roughnessen_US
dc.titleThe use of an artificial neural network for predicting the gloss of thermally densified wood veneersen_US
dc.typeArticleen_US

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