Surface Defects Detection of Solid Wood Board Using Near-Infrared Spectroscopy Based on Bayesian Neural Network

LIANG Hao; CAO Jun; LIN Xue; ZHANG Yi-zhuo

doi:10.3964/j.issn.1000-0593(2017)07-2041-05

Journals >Spectroscopy and Spectral Analysis >Volume 37 >Issue 7 >Page 2041 > Article

Spectroscopy and Spectral Analysis
Vol. 37, Issue 7, 2041 (2017)

Surface Defects Detection of Solid Wood Board Using Near-Infrared Spectroscopy Based on Bayesian Neural Network

LIANG Hao¹, CAO Jun¹, LIN Xue², and ZHANG Yi-zhuo¹

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3964/j.issn.1000-0593(2017)07-2041-05 Cite this Article

LIANG Hao, CAO Jun, LIN Xue, ZHANG Yi-zhuo. Surface Defects Detection of Solid Wood Board Using Near-Infrared Spectroscopy Based on Bayesian Neural Network[J]. Spectroscopy and Spectral Analysis, 2017, 37(7): 2041 Copy Citation Text

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References

[1] Ruz G A, Estevez P A, Ramirez P A. International Journal of Systems Science, 2009, 40(2): 163.

[2] Satoru T, Kobori H. Journal of Wood Science, 2015, 61: 213.

[3] Alves A, Santos A, Rozenberg P, et al. Wood Science and Technology, 2012, 46: 157.

[4] Sundaram J, Mani S, Kandala C V K, et al. American Journal of Analytical Chemistry, 2015, 6: 923.

[5] Rousset P, Davrieux F, Macedo L, et al. Biomass and Bioenergy, 2011, 35: 1219.

[6] Jones P D, Schimleck L R, Petter G F, et al. Wood Science and Technology, 2006, 40: 709.

[10] Lauret P, Fock E, Randrianarivony R N, et al. Energy Conversion and Management, 2008, 49(5): 1156.

[11] Lutsiva V P. Journal of Optical Technology, 2015, 82(8): 499.

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