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...

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Detalles Bibliográficos

Principais autores:	Tiryaki Sebahattin, Aras Uğur, Kalaycıoğlu Hülya, Erişir Emir, Aydın Aytaç
Formato:	Artigo
Idioma:	Inglês
Publicado:	De Gruyter 2017-07-01
Series:	High Temperature Materials and Processes
Assuntos:	model comparison modulus of elasticity modulus of rupture particleboard prediction wood
Acceso en liña:	https://doi.org/10.1515/htmp-2015-0203
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