Identificação de Madeiras utilizando a Espectrometria no Infravermelho Próximo e Redes Neurais Artificiais
Abstract
Full Text:
PDF (Português (Brasil))References
R. Bremananth, B. Nithya, R. Saipriya, Wood Species Recognition System,International Journal of Electrical and Computer Engineering, (2009), 44--58.
J. W. B. Braga, et al., The use of near infrared spectroscopy to identify solid wood specimens of swietenia macrophylla (cites appendix II), Holzforschung, Vol. 32. (2011). 285--296.
M. T. Hagan, M. B. Menhaj, Training feedforward networks with marquardt algorithm, IEEE Transactions on Neural Networks, Vol. 5. No. 6 (1994). 989--993.
M. T. Hagan, H. B. Demuth, M. Beale, ``Neural Network Design'', Boston: Thomson Publishing INC., 1996, cap. 2.
S. Haykin, `` Redes Neurais: Princípios e Prática'', Bookman, 2001.
E. Hecht, `` Optics'', 4ª Ed. Addison-Wesley. 2001.
A. R. Silva, et al., Assessment of total phenols and extractives of mahogany wood by near infrared spectroscopy (NIRS), Holzforschung, Vol. 67. (2013). 1--8.
A. A. Oliveira, ``Identificação de madeira utilizando a espectrometria no infravermelho próximo e redes neurais com a heurística de levemberg-marquardt'', Dissertação de Mestrado, PPGMNE, UFPR, Curitiba, Pr, 2013.
B. Stuart, ``Infrared Spectroscopy: Fundamentals and Applications'', Hoboken: Wiley, 2004.
T. Theophanides, Introduction to infrared spectroscopy. Infrared Spectroscopy - Materials Science, Engineering and Technology, abril 2012.
DOI: https://doi.org/10.5540/tema.2015.016.02.0081
Article Metrics
Metrics powered by PLOS ALM
Refbacks
- There are currently no refbacks.
Trends in Computational and Applied Mathematics
A publication of the Brazilian Society of Applied and Computational Mathematics (SBMAC)
Indexed in: