近十年国内深度学习发展现状与趋势

The Status and Trend of Deep Learning in China in the Past Decade

采用文献计量法,以中国知网中"社会科学和哲学与人文科学"期刊库为数据来源,对近十年来公开发表的有关深度学习的核心论文,从论文数量、期刊来源、高产作者、高被引论文、研究主题和研究热点等六个维度,定量分析了我国深度学习的研究现状和特征,并提出四个结论与启示:完善深度学习理论体系;建立深度学习核心研究团队;加强深度学习实证研究;关注技术支持下的深度学习研究。

By using bibliometrics and the journal database of"social science,philosophy and humanities"in CNKI as the data source,the research status and characteristics of deep learning in China was analyzed from six dimensions:the number of papers,journal sources,high-yield authors,high cited papers,research topics and research hotspots.Four conclusions were drawn:perfect the deep learning theory system;establish the core research team of deep learning;strengthen the deep learning empirical research;pay attention to the research of deep learning supported by technology.