| References: [1] Jia, W., Zhao, D., Shen, T., et al. Optimization of a classification algorithm using BP neural network based on PLS and HCA. Applied Intelligence, 2015, 43(1), 1-16.
[2] Gu, J., Pan, Y., Wang, H. Enhancement of image edge detection algorithm using artificial neural network. Optik - International Journal for Light and Electron Optics, 2015, 126(21), 2974-2978.
[3] Zhao, Z., Xu, Q., Jia, M. Enhancement of shuffled frog leaping algorithm-based BP neural network and its appication in bearing early fault diagnosis. Neural Computing & Applications, 2016, 27(2), 375-385.
[4] Xiao, C., Zheng, L., Li, M., et al. Apple detection from apple tree image based on BP neural network and Hough transform. International Journal of Agricultural & Biological Engineering, 2015, 8(6), 46-53.
[5] Qiu, C., Shan, J. Intrusion detection algorithm research based on BP Neural Network. International Journal of Security & Its Applications, 2015, 9(4), 247-258.
[6] You, X., Cao, X. Study of Liquid Lithium Coolant Interaction based on BP Neural Network Optimized by Genetic Algorithm. Journal of Fusion Energy, 2015, 34(4), 918-924.
[7] Ji, H., Li, Z. Y. Research and Simulation of SVPWM Algorithm based on BP Neural Network. Key Engineering Materials, 2016, 693, 1391-1396.
[8] Qian, C. H., Qiang, H. Q., Gong, S. R. Orange quality classification technology research based on BP Neural Network Algorithm. Applied Mechanics & Materials, 2015, 713-715, 1821-1824.
[9] Li, H., Ding, X. Application Research on Improved Fusion Algorithm based on BP Neural Network and POS. Applied Mechanics & Materials, 2015, 733, 898-901.
[10] Qin, W., Xu, G., Yu, G. Research on Vehicle On-Board Weighing System based on BP Neural Network. Qiche Gongcheng/automotive Engineering, 2017, 39(5), 599-605. |
