近十年来人工智能领域研究进展分析

doi:10.1004-7530/2019-36-11-22

摘要/Abstract

摘要：

文章选取Web of Science数据库中2009—2019年与人工智能相关的文献作为研究对象,运用CiteSpace软件对合作国家及机构、关键词、共被引文献等多角度进行科学知识图谱分析,对人工智能研究领域的重要机构、作者、研究热点及研究趋势进行了讨论,并预测了人工智能的研究前沿,为后续研究提供了参考。

关键词: 人工智能, 科学知识图谱, 可视化

Abstract:

This paper uses the literature related to the artificial intelligence in the Web of Science database in 2009-2019 as the research object, and uses CiteSpace software to analyze the scientific knowledge maps of countries and institutions, keywords, co-cited documents, and cited authors. The important institutions, authors, and the research hotspots and the trends in the field of artificial intelligence are discussed, and the research front in artificial intelligence are predicted, which provides a reference for the follow-up study.

Key words: artificial intelligence, scientific knowledge map, visualization

中图分类号:

G255

梁继文, 王东波. 近十年来人工智能领域研究进展分析[J]. 江苏科技信息, 2019, 36(11): 22-.

Jiwen Liang, Dongbo Wang. Analysis of research progress in the field of artificial intelligence in the past ten years[J]. Jiangsu Science & Technology Information, 2019, 36(11): 22-.

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参考文献 17

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编号	机构	频次	编号	机构	频次
1	Islamic Azad University	186	11	Natl Taiwan University Sci & Technol	46
2	Chinese Acad Sci	157	12	Stanford University	44
3	University Tabriz	82	13	Huazhong University Sci & Technol	43
4	University Tehran	78	14	Indian Inst Technol	42
5	Hong Kong Polytech University	57	15	Georgia Inst Technol	42
6	University Malaya	57	16	Beihang University	40
7	Tsinghua University	50	17	AGH University Sci & Technol	37
8	Amirkabir University Technol	49	18	MIT	34
9	Nanyang Technol University	48	19	University Oxford	33
10	Harvard University	47	20	Zhejiang University	31

编号	关键词	频次	编号	关键词	频次
1	artificial intelligence	2 504	11	design	445
2	neural network	1 236	12	network	397
3	system	1 064	13	support vector machine	366
4	model	1 036	14	performance	363
5	artificial neural network	1 030	15	machine learning	363
6	algorithm	765	16	particle swarm optimization	273
7	prediction	743	17	swarm intelligence	248
8	optimization	702	18	fuzzy logic	243
9	genetic algorithm	610	19	intelligence	213
10	classification	560	20	learning （artificial intelligence）	216

作者	文献名称	发表时间	被引频次
LeCun Y, Bengio Y, Hinton G	《Deep learning》	2015	225
Karaboga D, Basturk B	《On the performance of artificial bee colony （ABC） algorithm》	2008	140
Krizhevsky A, Sutskever I, Hinton G E	《ImageNet Classification with Deep Convolutional Neural Networks》	2012	139
Karaboga D, Akay B.	《A comparative study of artificial bee colony algorithm》	2009	136
Karaboga D, Basturk B	《A powerful and efficient algorithm for numerical function optimization： artificial bee colony （ABC） algorithm》	2007	111
Silver D, Huang A, Maddison C J, et al.	《Mastering the game of Go with deep neural networks and tree search》	2016	99
Esteva A, Kuprel B, Novoa R A, et al.	《Dermatologist-level classification of skin cancer with deep neural networks》	2017	80
Akay B, Karaboga D.	《A modified Artificial Bee Colony algorithm for real-parameter optimization》	2012	78
Mnih V, Kavukcuoglu K, Silver D, et al.	《Human-level control through deep reinforcement learning》	2015	76

《江苏科技信息》杂志社
Jiangsu Science & Technology Information Magazine Agency