摘要
阐述5G技术与电子元器件的智能检测,传统电子元器件检测中的问题,5G技术在电子元器件智能检测作业中的应用、5G技术结合卷积神经网络在电子元器件检测作业的应用,包括基于联合编程构建智能化操作系统、深度学习模型、分类识别模型的应用。
This paper describes 5G technology and intelligent detection of electronic components,the problems in traditional electronic component detection,the application of 5G technology in intelligent detection of electronic components,and the application of 5G technology combined with convolutional neural networks in electronic component detection,including the application of intelligent operating systems based on joint programming,deep learning models,and classification and recognition models.
作者
浦敏晓
PU Minxiao(Jiangyin Huazi Secondary Vocational School,Jiangsu 214401,China)
出处
《电子技术（上海）》
2023年第3期16-18,共3页
Electronic Technology
关键词
智能检测
卷积神经网络
深度学习
分类识别
5G技术
intelligent detection
convolutional neural network
deep learning
classification and recognition
5G technology
