Application of BP Neural Network in Digital ImageRecognition

2nd International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Zou, Lu^1 ; Zhao, Yongxin^2 ; Jiao, Bin^1

School of Electric Engineering, Shanghai Dianji University, Shanghai, China^1

Shanghai Zhenhua Heavy Industries Company Limited, Shanghai, China^2

关键词: Anti-interference;    BP neural networks;    Image data;    Image recognition system;    Network training;    Recognition methods;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/490/7/072055/pdf
DOI  :  10.1088/1757-899X/490/7/072055

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

BP neural network is a new image recognition method, mainly in the traditional image recognition method, adding an algorithm about neural network.The method of image recognition using BP neural network is raised in this paper. Rather than feature extraction, image data is directly used as input. At the end, the network training and testing is completed in Python, and the experimental results are given. The results show that the neural network image recognition system without feature extraction has strong anti-interference ability.