• Optical Instruments
  • Vol. 45, Issue 5, 35 (2023)
Ningzhi YUAN, Shaohua CHEN*, and Taotao MU
Author Affiliations
  • College of Instrumental Science and Optoelectronic Engineering, Beijing Information Science and Technology University, Beijing 100192, China
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    DOI: 10.3969/j.issn.1005-5630.2023.005.005 Cite this Article
    Ningzhi YUAN, Shaohua CHEN, Taotao MU. Research on classification of plastics by Raman spectroscopy combined with deep learning algorithm[J]. Optical Instruments, 2023, 45(5): 35 Copy Citation Text show less
    References

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    [9] DONG J L, HONG M J, ZHENG X Q, et al. Discrimination of Human, dog and rabbit blood using Raman spectroscopy[J]. Spectroscopy and Spectral Analysis, 38, 459-466(2018).

    [10] LIU J, OSADCHY M, ASHTON L, et al. Deep convolutional neural networks for Raman spectrum recognition: a unified solution[J]. Analyst, 21, 4067-4074(2017).

    [15] ČLUPEK M, MATĚJKA P, VOLKA K. Noise reduction in Raman spectra: Finite impulse response filtration versus Savitzky-Golay smoothing[J]. Journal of Raman Spectroscopy, 38, 1174-1179(2007).

    [16] RICHARDS S, MILLER R, GEMPERLINE P. Advantages of soft versus hard constraints in self-modeling curve resolution problems. Penalty alternating least squares (P-ALS) extension to multi-way problems[J]. Applied Spectroscopy, 62, 197-206(2008).

    Ningzhi YUAN, Shaohua CHEN, Taotao MU. Research on classification of plastics by Raman spectroscopy combined with deep learning algorithm[J]. Optical Instruments, 2023, 45(5): 35
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