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

页码：794 / 798

页数：5

共 50 条

[41] The Design and Application of Control System Based on the BP Neural Network [J].

Li, Xinglei ;

Yu, Hongbin .

PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND INTELLIGENT SYSTEMS (ICMEIS 2015), 2015, 26 :789-793

[42] A Study on PID Control and Simulation Based on BP Neural Network [J].

Zhai Fangfang ;

Ma Shaoli ;

Liu Wei .

AUTOMATION EQUIPMENT AND SYSTEMS, PTS 1-4, 2012, 468-471 :742-+

[43] The Recognition of Cirrhotic Liver Ultrasonic Images of Multi-feature Fusion Based on BP_Adaboost Neural Network [J].

Wang, Shourun ;

Pan, Zhenkuan ;

Wei, Weibo ;

Zhao, Ximei ;

Wang, Guodong .

ADVANCES IN IMAGE AND GRAPHICS TECHNOLOGIES, IGTA 2016, 2016, 634 :106-114

[44] A Parallel BP Neural Network Based on the FPGA [J].

Guo Yu-Hui ;

Zhou De-Tai ;

Qian Xiang-Ping ;

Zeng Xian-Qiang .

MEASUREMENT TECHNOLOGY AND ITS APPLICATION, PTS 1 AND 2, 2013, 239-240 :1541-+

[45] Research on Chinese Vehicle License Plate Detection and Recognition Technology Based on BP Neural Network [J].

Zhu, Mengyuan ;

Yuan, Kaibo ;

Li, Shuijin ;

Wang, Yu .

PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT - VOL 1, 2022, 144 :536-547

[46] Defect Recognition of Cold Rolled Plate Shape Based on RBF-BP Neural Network [J].

Li, Xiaohua ;

Zhang, Junjie .

PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012), 2012, :496-500

[47] Fault Recognition of On-Load Tap-Changer Based on Improved BP Neural Network [J].

Jiang, Chunbing .

2017 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL SYSTEMS AND COMMUNICATIONS (ICCSC 2017), 2017, :24-28

[48] Fire Recognition Method Based on PSO-BP Neural Network and ResNet50 [J].

Ren, Jing ;

Shi, Xiaoyan ;

Cao, Xianghong .

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2024, 38 (13)

[49] A real-time recognition of working patterns to fault diagnosis based on BP neural network [J].

Zong, Hua ;

Zhang, Yun .

WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, :5769-+

[50] Pitch recognition based on intelligent neural network system [J].

Li, MY ;

Li, T .

2004 INTERNATIONAL CONFERENCE ON COMMUNICATION, CIRCUITS, AND SYSTEMS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEMS - VOL 2: SIGNAL PROCESSING, CIRCUITS AND SYSTEMS, 2004, :1081-1085

← 1 2 3 4 5 →