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Memorias de investigación
Artículos en revistas:
Prediction of MOR and MOE of structural plywood board using an artificial neural network and comparison with a multivariate regression model
Año:2012
Áreas de investigación
  • Ingenierías
Datos
Descripción
The structural application of plywood boards has increased considerably in recent years. In this context, determining plywood mechanical properties such as bending strength and modulus of elasticity through predictive models using more-easily obtained properties is a very useful tool for in-factory quality control. Artificial neural networks have demonstrated their high capacity for modelling complex relations between variables, considerably improving on results obtained through regression techniques. Four neural networks were developed to obtain these mechanical properties by determining board thickness, moisture content, specific gravity, bending strength and modulus of elasticity of test pieces of small dimensions. The results were compared with those of a regression model and in all cases the results of the present study were better.
Internacional
Si
JCR del ISI
Si
Título de la revista
Composites Part B-Engineering
ISSN
1359-8368
Factor de impacto JCR
1,731
Información de impacto
Volumen
43
DOI
10.1016/j.compositesb.2011.11.054
Número de revista
8
Desde la página
3528
Hasta la página
3533
Mes
DICIEMBRE
Ranking
9/90 ENGINEERING, MULTIDISCIPLINARY (SCI) 5/24 MATERIALS SCIENCE, COMPOSITES (SCI)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Francisco Garcia Fernandez (UPM)
  • Autor: Paloma de Palacios De Palacios (UPM)
  • Autor: Luis Garcia Esteban (UPM)
  • Autor: Alberto García Iruela (UPM)
  • Autor: Beatriz Gonzalez Rodrigo (UPM)
  • Autor: Ernestina Menasalvas Ruiz (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Data Mining Engineering (DaME) Ingeniería de Minería de datos
  • Grupo de Investigación: Tecnología de la Madera y el Corcho
  • Departamento: Ingeniería Civil: Tecnología de la Construcción
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