自动化学报（英文版）2017，Vol.4Issue(4)：588-598,11.DOI:10.1109/JAS.2017.7510583
Generative Adversarial Networks:Introduction and Outlook
Generative Adversarial Networks:Introduction and Outlook
Kunfeng Wang 1Chao Gou 2Yanjie Duan 2Yilun Lin 2Xinhu Zheng 3Fei-Yue Wang4
作者信息
- 1. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China, and also with Qingdao Academy of Intelligent Industries, Qingdao 266000, China
- 2. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China, and also with Uni-versity of Chinese Academy of Sciences, Beijing 100049, China
- 3. Department of Computer Science and Engi-neering, University of Minnesota, Minneapolis MN 55414, USA
- 4. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China, and also with the Research Center for Computational Experiments and Parallel Systems Technology, National University of Defense Technology, Changsha 410073, China
- 折叠
摘要
关键词
ACP approach/adversarial learning/generativeadversarial networks (GANs)/generative models/parallel intelligence/zero-sum gameKey words
ACP approach/adversarial learning/generativeadversarial networks (GANs)/generative models/parallel intelligence/zero-sum game引用本文复制引用
Kunfeng Wang,Chao Gou,Yanjie Duan,Yilun Lin,Xinhu Zheng,Fei-Yue Wang..Generative Adversarial Networks:Introduction and Outlook[J].自动化学报（英文版）,2017,4(4):588-598,11.基金项目
This work was supported by the National Natural Science Foundation of China (61533019, 71232006, 91520301). Recommended by Associate Editor Derong Liu. （61533019, 71232006, 91520301）
