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

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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Bibliographic Details
Main Authors: Fatih Yapıcı, Raşit Esen, Okan Erkaymaz, Hasan Baş
Format: Article
Language:English
Published: University of Zagreb, Faculty of Forestry and Wood Technology 2016-01-01
Series:Drvna Industrija
Subjects:
wood
heat treatment
Artifi cial Neural Network
compressive strength
Online Access:http://hrcak.srce.hr/file/221897

Internet

http://hrcak.srce.hr/file/221897

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