• Laser & Optoelectronics Progress
  • Vol. 54, Issue 7, 72302 (2017)
Gao Hang and Xue Lingyun
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/lop54.072302 Cite this Article Set citation alerts
    Gao Hang, Xue Lingyun. Back Propagation Neural Network Based on Improved Genetic Algorithm Fitting LED Spectral Model[J]. Laser & Optoelectronics Progress, 2017, 54(7): 72302 Copy Citation Text show less
    References

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    [2] Mohan M V A, Pavithran J, Osten K L, et al. Simulation of spectral match and spatial non-uniformity for LED solar simulator[C]. 2014 IEEE Global Humanitarian Technology Conference-South Asia Satellite, 2014: 111-117.

    [3] Shen Haiping, Feng Huajun, Pan Jiangen, et al. LED spectrum mathematical model and its application (English)[C]. China Illuminating Engineering Society, 2005: 83-85.

    [4] He G X, Zheng L H. A model for LED spectra at different drive currents[J]. Chinese Optics Letters, 2010, 8(11): 1090-1094.

    [5] Tan Qian, Rao Feng, Zhang Yonglin, et al. LED spectral model characterized by several Gaussian functions[J]. Chinese Optics, 2012, 5(5): 493-498.

    [6] Peng Jiwei, Lü Wenhua, Xing Hongyan, et al. Temperature compensation for humidity sensor based on improved GA-BP neural network[J]. Chinese Journal of Scientific Instrument, 2013, 34(1): 153-160.

    [7] Chai Yi, Yin Hongpeng, Li Dajie, et al. Self-adaptation optimize BP neural network design based on the genetic algorithms[J]. Joumal of Chongqing University (Natural Science Edition), 2007, 30(4): 91-96.

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    Gao Hang, Xue Lingyun. Back Propagation Neural Network Based on Improved Genetic Algorithm Fitting LED Spectral Model[J]. Laser & Optoelectronics Progress, 2017, 54(7): 72302
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