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深度学习技术在钢铁工业中的应用
引用本文:李江昀,杨志方,郑俊锋,赵义凯. 深度学习技术在钢铁工业中的应用[J]. 钢铁, 2021, 56(9): 43-49. DOI: 10.13228/j.boyuan.issn0449-749x.20210296
作者姓名:李江昀  杨志方  郑俊锋  赵义凯
作者单位:北京科技大学自动化学院,北京100083;工业过程知识自动化教育部重点实验室,北京100083
基金项目:中央高校基本科研业务费资助项目(FRF-DF-19-002)
摘    要:人工智能自1956年在达特茅斯会议上提出后,现在正处于为人类社会带来最大影响与变革的第三次浪潮,而深度学习作为掀起此次浪潮的主要驱动力,也必然会为钢铁智能制造注入新动能.为了探究深度学习技术在钢铁工业中的应用前景,通过对深度学习的几项关键技术在钢铁工业应用中的探索,介绍了作者目前取得的相关成果,阐明了当前阶段深度学习技...

关 键 词:深度学习  机器视觉  人工智能  钢铁工业  智能制造
收稿时间:2021-05-13

Applications of iron and steel industry with deep learning technologies
LI Jiang-yun,YANG Zhi-fang,ZHENG Jun-feng,ZHAO Yi-kai. Applications of iron and steel industry with deep learning technologies[J]. Iron & Steel, 2021, 56(9): 43-49. DOI: 10.13228/j.boyuan.issn0449-749x.20210296
Authors:LI Jiang-yun  YANG Zhi-fang  ZHENG Jun-feng  ZHAO Yi-kai
Affiliation:1. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083,China;2. Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, Beijing 100083, China
Abstract:Since artificial intelligence was proposed at the Dartmouth Conference in 1956,it has brought the greatest impact and change to human society in the third wave. The deep learning technology,as one of the main driving forces in this period,is helpful to use in Intelligent steel manufacturing. In order to explore the application prospects of deep learning technologies in the iron and steel industry,several key technologies using deep learning method were explored. Along with the related work by the authors,the research goals and advantages of deep learning based technologies applying to steel intelligent manufacturing were illustrated,which provides reference for the advantages of artificial intelligence technology to empower the development of steel manufacturing manufacturing.
Keywords:deep learning  machine vision  artificial intelligence  iron and steel industry  intelligent manufacturing  
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