Predictive Models for Modulus of Rupture and Modulus of Elasticity of Particleboard Manufactured in Different Pressing Conditions

Determining the mechanical properties of particleboard has gained a great importance due to its increasing usage as a building material in recent years. This study aims to develop artificial neural network (ANN) and multiple linear regression (MLR) models for predicting modulus of rupture (MOR) and...

Full description

Bibliographic Details
Main Authors: Tiryaki Sebahattin, Aras Uğur, Kalaycıoğlu Hülya, Erişir Emir, Aydın Aytaç
Format: Article
Language:English
Published: De Gruyter 2017-07-01
Series:High Temperature Materials and Processes
Subjects:
Online Access:https://doi.org/10.1515/htmp-2015-0203