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国内深度学习研究热点与趋势的可视化分析

Visualization Analysis of Research Hotspots and Trends of Deep Learning in China

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【作者】 何彤宇; 刘晓红;

【Author】 HE Tongyu;LIU Xiaohong;

【机构】 江西师范大学新闻与传播学院; 南京师范大学教育科学学院;

【摘要】 随着现代社会对人才专业化程度的要求不断提高,尤其是信息技术革命对人们的学习方式和任务产生重大影响,源自20世纪50年代的深度学习相关研究日益得到重视,我国学者也开展了广泛研究。以此为背景,以中国期刊全文数据库(CNKI)核心期刊和CSSCI两个数据库作为数据源,运用社会网络分析和多元分析法,对当前国内深度学习研究热点与趋势进行可视化分析,绘制知识图谱,即四个知识群。

【Abstract】 With the development of modern society, the requirement of specialization of talents has been continuously improved, especially the revolution of information technology has a great influence on people’s way of learning and tasks, More and more attention has been paid to the study of deep learning from the 50 s of last century.Chinese scholars have also conducted extensive research. Based on this background, this paper takes Chinese Journal Full-text Database(CNKI) core journals and CSSCI two databases as data sources,using social network analysis and multivariate analysis, this paper draws the knowledge network of deep learning research, and divides the current research into four knowledge groups.

  • 【文献出处】 中国教育技术装备 ,China Educational Technology & Equipment , 编辑部邮箱 ,2019年04期
  • 【分类号】G420;G353.1
  • 【下载频次】314
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