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

Author:

Esteban Luis G.,de Palacios Paloma,Conde María,Fernández Francisco G.,García-Iruela Alberto,González-Alonso Marta

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Plant Science,General Materials Science,Forestry

Reference54 articles.

1. Avramidis S, Iliadis L (2005a) Predicting wood thermal conductivity using artificial neural networks. Wood Fiber Sci 37:682–690

2. Avramidis S, Iliadis L (2005b) Wood-water sorption isotherm prediction with artificial neural networks: a preliminary study. Holzforschung 59:336–341

3. Batista JW, Monteiro TC, Rauber VT, Alves JA, Ribeiro A (2011) The use of near infrared spectroscopy to identify solid wood specimens of Swietenia macrophylla (Cites Appendix II). IAWA J 32:285–296

4. Burks TF, Shearer SA, Heath JR, Donohue KD (2005) Evaluation of neural network classifiers for weed species discrimination. Biosyst Eng 91:293–304

5. Catalán G, Gil P, Galera RM, Martín S, Agúndez D, Alía R (1991) Las regiones de procedencia de Pinus sylvestris L. y Pinus nigra Arn. subsp. salzmannii (Dunal) Franco en España [The regions of provenance of Pinus sylvestris L. and Pinus nigra Arn. subsp. salzmannii (Dunal) Franco in Spain]. Instituto Nacional para la Conservación de la Naturaleza, Madrid

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