• Spectroscopy and Spectral Analysis
  • Vol. 44, Issue 5, 1417 (2024)
HU Jin-quan1,2,*, YANG Hui-hua1, ZHAO Guo-liang3, ZHOU Rui-zhi4, and LI Ling-qiao5
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
  • 5[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2024)05-1417-08 Cite this Article
    HU Jin-quan, YANG Hui-hua, ZHAO Guo-liang, ZHOU Rui-zhi, LI Ling-qiao. Prediction Method of Wool Content in Waste Spinning Samples Based on Semi Supervised Regression of Generative Adversarial Network[J]. Spectroscopy and Spectral Analysis, 2024, 44(5): 1417 Copy Citation Text show less
    References

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    [14] Davi C,Braga-Neto U. A Semi-Supervised Generative Adversarial Network for Prediction of Genetic Disease Outcomes, 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), Gold Coast, Australia, 2021.

    [15] Min C, Li Y, Fang L, et al. Conditional Generative Adversarial Network on Semi-Supervised Learning Task, 2019 IEEE 5th International Conference on Computer and Communications (ICCC), Chengdu, China, 2019, 1448.

    [16] Meng D, Wu B, Liu N. Semi-Supervised Deep Learning Seismic Impedance Inversion Using Generative Adversarial Networks, IGARSS 2020—2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, 2020, 1393.

    HU Jin-quan, YANG Hui-hua, ZHAO Guo-liang, ZHOU Rui-zhi, LI Ling-qiao. Prediction Method of Wool Content in Waste Spinning Samples Based on Semi Supervised Regression of Generative Adversarial Network[J]. Spectroscopy and Spectral Analysis, 2024, 44(5): 1417
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