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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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
De Gruyter
2017-07-01
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| coleção: | High Temperature Materials and Processes |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1515/htmp-2015-0203 |
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