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

In 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. T...

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Autores principales:	Fatih Yapıcı, Raşit Esen, Okan Erkaymaz, Hasan Baş
Formato:	article
Lenguaje:	EN
Publicado:	University of Zagreb, Faculty of Forestry and Wood Technology 2016
Materias:	wood heat treatment Artifi cial Neural Network compressive strength Forestry SD1-669.5
Acceso en línea:	https://doaj.org/article/367700719aa945b7a893ff3fcf7a739a
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spelling	oai:doaj.org-article:367700719aa945b7a893ff3fcf7a739a2021-12-02T00:24:29ZModeling of Compressive Strength Parallel to Grain of Heat Treated Scotch Pine (Pinus sylvestris L.) Wood by Using Artificial Neural Network10.5552/drind.2015.14340012-67721847-1153https://doaj.org/article/367700719aa945b7a893ff3fcf7a739a2016-01-01T00:00:00Zhttp://hrcak.srce.hr/file/221897https://doaj.org/toc/0012-6772https://doaj.org/toc/1847-1153In 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 using multiple variance analysis. Secondly, the effect of heat treatment on the CS of samples was modeled by using artificial neural network (ANN).Fatih YapıcıRaşit EsenOkan ErkaymazHasan BaşUniversity of Zagreb, Faculty of Forestry and Wood Technologyarticlewoodheat treatmentArtifi cial Neural Networkcompressive strengthForestrySD1-669.5ENDrvna Industrija, Vol 66, Iss 4, Pp 347-352 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	wood heat treatment Artifi cial Neural Network compressive strength Forestry SD1-669.5
spellingShingle	wood heat treatment Artifi cial Neural Network compressive strength Forestry SD1-669.5 Fatih Yapıcı Raşit Esen Okan Erkaymaz Hasan Baş Modeling of Compressive Strength Parallel to Grain of Heat Treated Scotch Pine (Pinus sylvestris L.) Wood by Using Artificial Neural Network
description	In 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 using multiple variance analysis. Secondly, the effect of heat treatment on the CS of samples was modeled by using artificial neural network (ANN).
format	article
author	Fatih Yapıcı Raşit Esen Okan Erkaymaz Hasan Baş
author_facet	Fatih Yapıcı Raşit Esen Okan Erkaymaz Hasan Baş
author_sort	Fatih Yapıcı
title	Modeling of Compressive Strength Parallel to Grain of Heat Treated Scotch Pine (Pinus sylvestris L.) Wood by Using Artificial Neural Network
title_short	Modeling of Compressive Strength Parallel to Grain of Heat Treated Scotch Pine (Pinus sylvestris L.) Wood by Using Artificial Neural Network
title_full	Modeling of Compressive Strength Parallel to Grain of Heat Treated Scotch Pine (Pinus sylvestris L.) Wood by Using Artificial Neural Network
title_fullStr	Modeling of Compressive Strength Parallel to Grain of Heat Treated Scotch Pine (Pinus sylvestris L.) Wood by Using Artificial Neural Network
title_full_unstemmed	Modeling of Compressive Strength Parallel to Grain of Heat Treated Scotch Pine (Pinus sylvestris L.) Wood by Using Artificial Neural Network
title_sort	modeling of compressive strength parallel to grain of heat treated scotch pine (pinus sylvestris l.) wood by using artificial neural network
publisher	University of Zagreb, Faculty of Forestry and Wood Technology
publishDate	2016
url	https://doaj.org/article/367700719aa945b7a893ff3fcf7a739a
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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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