Laser & Optoelectronics Progress, Volume. 54, Issue 7, 72302(2017)

Back Propagation Neural Network Based on Improved Genetic Algorithm Fitting LED Spectral Model

Gao Hang and Xue Lingyun
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    References(7)

    [1] [1] Song Pengcheng, Wen Shangsheng, Chen Yingcong. Research on color mixing based on RGBW-LEDs[J]. Acta Optica Sinica, 2015, 35(9): 0923004.

    [2] [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] [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] [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.

    [6] [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] [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.

    CLP Journals

    [1] Yang Junhui, Liu Yian. Design of Radar Orthogonal Waveform Based on Hybrid Genetic Chicken Swarm Optimization Algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(8): 80702

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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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    Paper Information

    Category: Optical Devices

    Received: Feb. 7, 2017

    Accepted: --

    Published Online: Jul. 5, 2017

    The Author Email:

    DOI:10.3788/lop54.072302

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