• Laser & Optoelectronics Progress
  • Vol. 56, Issue 19, 191005 (2019)
Haijun Wang1、*, Tao Jin1, and Ke Neimule Men2
Author Affiliations
  • 1Department of Mathematics and Computer Engineering, Ordos Institute of Technology, Ordos, Inner Mongolia 0 17000, China
  • 2Department of Information Engineering, Ordos Institute of Technology, Ordos, Inner Mongolia 0 17000, China
  • show less
    DOI: 10.3788/LOP56.191005 Cite this Article Set citation alerts
    Haijun Wang, Tao Jin, Ke Neimule Men. Application of FA-LMBP Hybird Neural Network Algorithm in Image Compression[J]. Laser & Optoelectronics Progress, 2019, 56(19): 191005 Copy Citation Text show less
    References

    [1] Rahali M, Loukil H, Bouhlel M S. New image compression method using logarithmic quantization. [C]∥2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), December 18-20, 2016, Hammamet, Tunisia. New York: IEEE, 432-436(2016).

    [2] Yan H M, Wu D M. Application of improved BP neural network in hyper-spectral image compression[J]. Journal of Graphics, 34, 110-114(2013).

    [3] Anjana B, Shreeja R. Image compression using artificial neural network. [C]∥Fourth International Conference on Advances in Recent Technologies in Communication and Computing (ARTCom2012), October 19-20, 2012, Bangalore, India. UK: IET, 288-290(2012).

    [4] Hu Y, Li Z H, Lü T. Quantitative measurement of iron content in geological standard samples by laser-induced breakdown spectroscopy combined with artificial neural network[J]. Laser & Optoelectronics Progress, 54, 053003(2017).

    [5] Xu Z M, Zhou J Z, Huang S et al. Quality prediction of laser milling based on optimized back propagation networks by genetic algorithms[J]. Chinese Journal of Lasers, 40, 0603004(2013).

    [6] Sun S Q, Chu F H. Temperature compensation of fiber Bragg grating current sensor based on optimized neural network algorithm[J]. Acta Optica Sinica, 37, 1006001(2017).

    [7] Henn S. A Levenberg-Marquardt scheme for nonlinear image registration[J]. BIT Numerical Mathematics, 43, 743-759(2003).

    [8] Yang X S[M]. Nature-inspired metaheuristic algorithms(2008).

    [9] Weng S L, Shan W P, He G L. Bearing fault diagnosis based on FA-BP neural network[J]. Electronic Design Engineering, 22, 4-7(2014).

    [10] Li M T, Ji X F, Zhang Jet al. FA-BP neural network-based forecast for railway passenger volume[J]. Materials, 641/642, 673-677(2014).

    [11] Xu J, He Z, Yuan R. A optimization method for non-linear profile based LM-BP neural networks[J]. China Mechanical Engineering, 27, 2749-2753, 2758(2016).

    [12] Yang X S. Firefly algorithms for multimodal optimization[M]. ∥Watanabe O, Zeugmann T. Stochastic algorithms: foundations and applications. SAGA 2009. Lecture notes in computer science., 5792, 169-178(2009).

    [13] Senthilnath J, Omkar S N, Mani V. Clustering using firefly algorithm: performance study[J]. Swarm and Evolutionary Computation, 1, 164-171(2011).

    [14] Feng H, Luo L, Wang Y et al. Path planning in wireless sensor networks for mobile sink based on glowworm swarm optimization algorithm[J]. Microelectronics & Computer, 33, 47-51(2016).

    [15] Wang S F, Li G L. Application of a BP neural network based on genetic algorithm in image compression[J]. Chinese Journal of Quantum Electronics, 24, 425-428(2007).

    [16] Xiong X L, Yang G L, Duan X H. Image compression of BP neural network with SPIHT algorithm[J]. Journal of Electronic Measurement and Instrument, 22, 7-11(2008).

    Haijun Wang, Tao Jin, Ke Neimule Men. Application of FA-LMBP Hybird Neural Network Algorithm in Image Compression[J]. Laser & Optoelectronics Progress, 2019, 56(19): 191005
    Download Citation