An image recognition method based on multiple BP neural networks fusion

被引：0
|
作者：
Ni, JJ [1 ]
Ma, XP [1 ]
Xu, LZ [1 ]
Wang, JY [1 ]
机构：
[1] China Univ Min & Technol, Informat & Elect Engn Coll, Xuzhou, Jiangsu Provinc, Peoples R China
来源：
ICIA 2004: Proceedings of 2004 International Conference on Information Acquisition | 2004年
关键词：
image recognition; multiple BP neural networks; D-S theory of evidence;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With respect to the limitation of the image recognition method by single BP neural network, a new method based on multiple BP neural networks with D-S theory is proposed. By using this method to synthesize each image recognition result of single BP neural network, we can improve the performance of the image recognition. The results of the computer simulation and experiment show that the new method is effective.
引用
收藏
页码：323 / 326
页数：4
相关论文
共 50 条
  • [1] Extended target invariant recognition based on multiple BP neural networks
    Zhang, Kunhua
    Yang, Xuan
    Journal of Information and Computational Science, 2008, 5 (04): : 1629 - 1635
  • [2] A Medical Image Fusion Method Based on Convolutional Neural Networks
    Liu, Yu
    Chen, Xun
    Cheng, Juan
    Peng, Hu
    2017 20TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2017, : 1070 - 1076
  • [3] A Robust Method of LED Die Recognition Based on Dual BP Neural Networks
    Li, Hexi
    Yang, Tieniu
    Zheng, Xiaoxi
    MATERIALS ENGINEERING AND MECHANICAL AUTOMATION, 2014, 442 : 298 - 303
  • [4] Fast recognition method of moving video images based on BP neural networks
    Shao, Yu
    Witarsyah, Deden
    OPEN PHYSICS, 2018, 16 (01): : 1024 - 1032
  • [5] The Trunk of The Image Recognition Based on BP Neural Network
    Shao, Lei
    Mu, Yi
    Liu, Jun
    Dong, Guoling
    Liu, Hongli
    Guo, Peng
    2014 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2014), 2014, : 1800 - 1805
  • [6] Gesture Recognition Based on Fusion Features from Multiple Spiking Neural Networks
    Huang, Liuping
    Wu, Qingxiang
    Chen, Yanfeng
    Hong, Sanliang
    Huang, Xi
    2015 FIFTH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT2015), 2015, : 1167 - 1171
  • [7] Image Classification Using Fusion of Multiple Neural Networks
    Fan, Jiayi
    Lee, JangHyeon
    Lee, YongKeun
    2021 36TH INTERNATIONAL TECHNICAL CONFERENCE ON CIRCUITS/SYSTEMS, COMPUTERS AND COMMUNICATIONS (ITC-CSCC), 2021,
  • [8] Speaker Recognition Based on MFCC and BP Neural Networks
    Wang, Yi
    Lawlor, Bob
    2017 28TH IRISH SIGNALS AND SYSTEMS CONFERENCE (ISSC), 2017,
  • [9] Multiple Feature Fusion in Convolutional Neural Networks for Action Recognition
    LI Hongyang
    CHEN Jun
    HU Ruimin
    WuhanUniversityJournalofNaturalSciences, 2017, 22 (01) : 73 - 78
  • [10] Image noise recognition algorithm based on BP neural network
    Huo Yi
    Ma XiaoXuan
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 106 - 111
12345