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Memorias de investigación
Artículos en revistas:
Application of artificial neural networks as a predictive method to differentiate the wood of Pinus sylvestris L. and Pinus nigra Arn subsp. salzmannii (Dunal) Franco
Año:2017
Áreas de investigación
  • Investigación forestal,
  • Ingenierías
Datos
Descripción
The wood structure of conifers in general and the Pinus genus in particular makes species differentiation by traditional qualitative or quantitative methods complicated or even impossible at times. Pinus sylvestris L. and Pinus nigra Arn subsp. salzmannii (Dunal) Franco are a clear example of this because they cannot be differentiated by traditional methods. However, correctly identifying these species is very important in some cases as they are extensively used in a large variety of fields because of their wide distribution range in the forests of Europe and Asia. Using trees selected from the same forest to minimise the influence of site and performing a biometric study of 10 growth rings from the same climate period, a feedforward multilayer perceptron network trained by the resilient backpropagation algorithm was designed to determine whether the network could be used to differentiate these species with a high degree of probability. The artificial neural network achieved 90.4% accuracy in the training set, 81.6% in the validation set and 81.2% in the testing set. This result justifies the use of this tool for wood identification at anatomical level.
Internacional
Si
JCR del ISI
Si
Título de la revista
Wood Science And Technology
ISSN
0043-7719
Factor de impacto JCR
1,509
Información de impacto
Volumen
51
DOI
10.1007/s00226-017-0932-7
Número de revista
5
Desde la página
1249
Hasta la página
1258
Mes
SIN MES
Ranking
MATERIALS SCIENCE: 4/21, Q1 FORESTRY: 26/64, Q2
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Luis Garcia Esteban (UPM)
  • Autor: Paloma de Palacios De Palacios (UPM)
  • Autor: María Conde García (UPM)
  • Autor: Francisco Garcia Fernandez (UPM)
  • Autor: Alberto García Iruela (UPM)
  • Autor: Marta González Alonso (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: Sistemas y Recursos Naturales
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