USE OF ARTIFICIAL NEURAL NETWORKS IN PREDICTING PARTICLEBOARD QUALITY PARAMETERS
ABSTRACT This study aims to assess Artificial Neural Networks (ANN) in predicting particleboard quality based on its physical and mechanical properties. Particleboards were manufactured using eucalyptus (Eucalyptus grandis) and bonded with urea-formaldehyde and phenol-formaldehyde resins. To charact...
Main Authors: | Rafael Rodolfo de Melo, Eder Pereira Miguel |
---|---|
Format: | Article |
Language: | English |
Published: |
Sociedade de Investigações Florestais
|
Series: | Revista Árvore |
Subjects: | |
Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622016000500949&lng=en&tlng=en |
Similar Items
-
Technological properties of particleboards produced using mixture of pines and bamboo
by: Alexsandro Bayestorff da Cunha, et al. -
Influência da adição de dióxido de titânio (TiO2) nas propriedades físico-mecânicas de painéis MDP
by: Ana Caroline Margarido Valle
Published: (2018) -
Influência da adição de dióxido de titânio (TiO2) nas propriedades físico-mecânicas de painéis MDP
by: Valle, Ana Caroline Margarido
Published: (2018) -
Use of maize cob for production of particleboard
by: Mário Vanoli Scatolino, et al.
Published: (2013-08-01) -
THERMAL MODIFICATION OF SUGARCANE WASTE AND BAMBOO PARTICLES FOR THE MANUFACTURE OF PARTICLEBOARDS
by: Flávia Maria Silva Brito, et al.