Open Access Journal

Manuscript submission

Volume 66 (2015), issue 4
Title:

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

Research subject and fields:
Abstract:

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).

Publisher

Faculty of Forestry and Wood Technology
HRCAK
ORCID
DOI
CROSSREF

DRVNA INDUSTRIJA Scientific Journal of Wood Technology

ISSN 0012-6772 (Print) / ISSN 1847-1153 (Online)

Faculty of Forestry and Wood Technology University of Zagreb, Svetošimunska 25, 10000 Zagreb, Hrvatska - Croatia
Tel: +3851 2352 430, E-mail: drind@sumfak.hr
Editor-in-Chief: Prof. Ružica Beljo-Lučić, Ph.D. E-mail: editordi@sumfak.hr