摘要
文章分析近些年废钢资源的增长趋势和利用状况,分析传统图像分类方法应用于废钢分类的局限性,并展望卷积神经网络应用于废钢分类的可行性及未来研究方向。
In this paper,the growth trend and utilization of scrap resources in recent years are summarized,the limitations of traditional image classification methods in scrap classification are analyzed,and the feasibility and future research direction of the application of convolutional neural network in scrap classification are predicted.
出处
《科技创新与应用》
2022年第11期88-90,共3页
Technology Innovation and Application
关键词
废钢分类
研究综述
卷积神经网络
scrap classification
research review
convolution neural network
