[1]张思琦,张文兰,李宝.国外近十年深度学习的研究现状与发展趋势——基于引文分析及共词矩阵的知识图谱分析[J].远程教育杂志,2016,(02):064-72.[doi:10.15881/j.cnki.cn33-1304/g4.2016.02.009]
 Zhang Siqi,Zhang Wenlan,Li Bao.Focus and Trend of Deep Learning Research in Foreign Countries in Recent Ten Years: Based on Citation Analysis and the Knowledge Map Analysis of Co-word Matrix[J].Distance Education Journal,2016,(02):064-72.[doi:10.15881/j.cnki.cn33-1304/g4.2016.02.009]
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国外近十年深度学习的研究现状与发展趋势——基于引文分析及共词矩阵的知识图谱分析()
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《远程教育杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2016年02期
页码:
064-72
栏目:
学习新论
出版日期:
2016-03-23

文章信息/Info

Title:
Focus and Trend of Deep Learning Research in Foreign Countries in Recent Ten Years: Based on Citation Analysis and the Knowledge Map Analysis of Co-word Matrix
作者:
张思琦;张文兰;李宝
陕西师范大学 教育学院, 陕西西安 710062
Author(s):
Zhang Siqi;Zhang Wenlan;Li Bao
School of Education, Shaanxi Normal University, Xi’an Shaanxi 710062
关键词:
深度学习引文分析共词聚类分析知识图谱研究热点
Keywords:
Deep learning Citation analysis Co-word cluster analysis Knowledge map Hotspots
分类号:
G420
DOI:
10.15881/j.cnki.cn33-1304/g4.2016.02.009
文献标志码:
A
摘要:
随着学习科学领域的兴起,深度学习逐渐成为教育领域的核心研究主题。运用基于引文分析与共词聚类分析的方法,以Web of Science数据库2005—2015年收录的459篇文献为研究对象,通过可视化知识图谱探析近十年国外深度学习领域的研究现状与研究热点。并进一步结合国内研究现状提出几点启示,以期对同类研究提供有益的借鉴。
Abstract:
With the rise of learning science, deep learning is becoming the core of research topics in education. This paper based on the methods of citation analysis and co-word cluster analysis, taking 459 pieces of essay of deep learning recorded in WOS database during 2005-2015 as research object, exploring the focus and trend of deep learning research in recent ten years through the visual knowledge map. Finally, the paper proposes some enlightenment combined with the status of domestic research, and afford reference to the similar study.

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备注/Memo

备注/Memo:
基金项目:本文系全国教育科学“十二五”规划教育部重点课题“面向学习创新的电子书包中小学教学应用研究”(项目编号:DCA120183)研究成果。
更新日期/Last Update: 2016-03-23