Recognition of industrial parts based on BP neural network

被引：0
|
作者：
Liu, B [1 ]
Jiang, LF [1 ]
Shi, LH [1 ]
机构：
[1] Harbin Univ Sci & Technol, Coll Measure Control Technol & Commun Engn, Harbin 150080, Peoples R China
来源：
PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 2 | 2002年
关键词：
image processing; neural network; BP algorithm; pattern recognition;
D O I：
暂无
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
The human-computer communication mode is adopted to identify the parts. In the-course of Pattern Recognition, We adopted BP neural network and brings forward a sort of improved BP algorithm based on the limitation of the BP algorithm. When the BP neural network algorithm is applied for identification of industrial parts, the speed and accuracy of identification is improved greatly. The practices indicate that this system can increase productivity and guarantee the quality of products.
引用
收藏
页码：794 / 798
页数：5
相关论文
共 50 条
  • [21] Tactile Pattern Recognition Based on PCA and BP Neural Network
    Zhang, Jing Yuan
    Wu, Hao Ying
    Wang, Jun Fang
    Wang, Chun Kai
    FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY V, 2015, : 1254 - 1260
  • [22] Research on Plant Leaf Recognition Based on BP Neural Network
    Lu, Xiaolei
    Qiu, Jing
    2021 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY, ENVIRONMENT AND CHEMICAL SCIENCE (AEECS 2021), 2021, 245
  • [23] Face Recognition Algorithm Based on Improved BP Neural Network
    Li Yong-Qiang
    Pan Jin
    INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS, 2015, 9 (05): : 175 - 183
  • [24] Free Handwritten Numeral Recognition Based on BP Neural Network
    Chen, Miaochao
    Wang, Fang
    ADVANCES IN APPLIED SCIENCES AND MANUFACTURING, PTS 1 AND 2, 2014, 850-851 : 909 - +
  • [25] The Analysis of Face Recognition Based on BP Artificial Neural Network
    Du, Yang
    Guo, Fei
    PROCEEDINGS OF THE 2016 7TH INTERNATIONAL CONFERENCE ON MECHATRONICS, CONTROL AND MATERIALS (ICMCM 2016), 2016, 104 : 272 - 277
  • [26] The Research on Face Recognition Based on Improved Bp Neural Network
    Zhao, Xuezhang
    Peng, Jianxi
    Yang, Xianghua
    Xi, Yunjiang
    2011 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION ENGINEERING (ICFIE 2011), 2011, 8 : 318 - 324
  • [27] A gesture recognition algorithm based on PCA and BP neural network
    Li, Hongyi
    Chen, Junjie
    Li, Xin
    Zhao, Di
    RESOURCES AND SUSTAINABLE DEVELOPMENT, PTS 1-4, 2013, 734-737 : 3053 - 3056
  • [28] Recognition Algorithm Based on Convolution Neural Network for the Mechanical Parts
    Duan Suolin
    Yin Congcong
    Liu Maomao
    ADVANCED MANUFACTURING AND AUTOMATION VIII, 2019, 484 : 337 - 347
  • [29] Overview of Handwritten Numeral Recognition Based on BP Neural Network
    Lu, Bin
    Wang, Yanli
    2011 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), VOLS 1-4, 2012, : 1502 - 1505
  • [30] 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