An Intelligent Neural Networks System for Prediction of particleboard properties
AbstracIn the past decade, artificial neural networks have been used as a powerful tool for modeling and prediction in many scientific fields. In this study, the feed-forward multilayer Perceptron (MLP) was utilized and trained by back propagation (BP) algorithm with Levenberg-Marquardt numerical op...
Guardado en:
Autores principales: | Zahra Jahani lomer, Saeed Reza farrokhpayam, Mohammad Shamsian |
---|---|
Formato: | article |
Lenguaje: | FA |
Publicado: |
Regional Information Center for Science and Technology (RICeST)
2014
|
Materias: | |
Acceso en línea: | https://doaj.org/article/140c6ee6d950425089ba5ec82cb7a0f2 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A mathematical model to predict particleboard properties using the
GMDH-type neural network and genetic algorithm
por: Zahra Jahanilomer, et al.
Publicado: (2014) -
The potential of mesquite (somr) wood in particleboard production
por: masoudreza habibi, et al.
Publicado: (2012) -
UTILIZATION OF GRAPE PRUNINGS RESIDUES IN PRODUCTION OF PARTICLEBOARD
por: Abolfazl Kargarfard, et al.
Publicado: (2004) -
The effect of wood species on particleboard properties
por: masoudreza habibi, et al.
Publicado: (2010) -
The effect of moisture content and storage time of Bagasse on particleboard physical and mechanical properties
por: masoudreza habibi, et al.
Publicado: (2017)