国内外研究现状的参考文献

以下是国内外研究现状的参考文献：

张春林. 人工智能在社会管理中的应用现状与趋势[J]. 公共管理学报, 2018, 4: 4-12.
Gartner, Inc. Gartner Says Worldwide Artificial Intelligence Business Value to Reach $1.2 Trillion in 2018 [EB/OL]. (2018-01-19) [2019-06-20]. https://www.gartner.com/en/newsroom/press-releases/2018-01-19-gartner-says-worldwide-artificial-intelligence-business-value-to-reach-1-point-2-trillion-in-2018.
McKinsey Global Institute. Artificial Intelligence: The Next Digital Frontier? [EB/OL]. (2017-06-01) [2019-06-20]. https://www.mckinsey.com/~/media/McKinsey/Industries/Advanced%20Electronics/Our%20Insights/How%20artificial%20intelligence%20can%20deliver%20real%20value%20to%20companies/MGI-Artificial-Intelligence-Discussion-paper.ashx.
中国电子信息产业发展研究院. 2018年人工智能产业发展报告[R]. 北京: 中国电子信息产业发展研究院, 2018.
Alpaydin, E. Introduction to Machine Learning[M]. Cambridge: MIT Press, 2010.
Goodfellow, I., Bengio, Y., Courville, A. Deep Learning[M]. Cambridge: MIT Press, 2016.
LeCun, Y., Bengio, Y., Hinton, G. Deep learning[J]. Nature, 2015, 521(7553): 436-444.
Russell, S. J., Norvig, P. Artificial Intelligence: A Modern Approach[M]. Upper Saddle River: Pearson Education, 2010.
Sutton, R. S., Barto, A. G. Reinforcement Learning: An Introduction[M]. Cambridge: MIT Press, 2018.
Szegedy, C., Liu, W., Jia, Y., et al. Going Deeper with Convolutions[C]. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015: 1-9.