Artículos en revistas:
Artificial neural networks in variable process control: application in particleboard manufacture
Artificial neural networks in variable process control: application in particleboard manufacture
Año:2009
Áreas de investigación
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Materiales orgánicos
Datos
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Descripción
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| Artificial neural networks are an efficient tool for modelling production control processes using data from the actual production as well as simulated or design of experiments data. In this study two artificial neural networks were combined with the control process charts and it was checked whether the data obtained by the networks were valid for variable process control in particleboard manufacture. The networks made it possible to obtain the mean and standard deviation of the internal bond strength of the particleboard within acceptable margins using known data of thickness, density, moisture content, swelling and absorption. The networks obtained met the acceptance criteria for test values from non-standard test methods, as well as the criteria for using these values in statistical process control. | |
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Internacional
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Si |
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JCR del ISI
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No |
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Título de la revista
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Investigación Agraria: Sistemas y Recursos Forestales |
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ISSN
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1131-7965 |
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Factor de impacto JCR
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0 |
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Información de impacto
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Volumen
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18 |
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DOI
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Número de revista
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1 |
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Desde la página
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92 |
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Hasta la página
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100 |
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Mes
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ABRIL |
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Ranking
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Participantes
- Autor: Luis Garcia Esteban (UPM)
- Autor: Francisco Garcia Fernandez (UPM)
- Autor: Paloma de Palacios De Palacios (UPM)
- Autor: María Conde García (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
- Creador: Grupo de Investigación: Tecnología de la Madera y el Corcho
- Departamento: Ingeniería Forestal
S2i 2023 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
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