computational intelligence for changing environments
文献类型：期刊论文
| 作者 | Amir,Hussain1; Dacheng,Tao2; Jonathan,Wu3; Zhao,Dongbin(赵冬斌)4
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| 刊名 | IEEE Computational Intelligence Magazine
 |
| 出版日期 | 2015-10-13 |
| 卷号 | 11期号:10(4)页码:10-11 |
| 关键词 | Behavioral Science Guest Editorial Computational Intelligence |
| DOI | 10.1109/MCI.2015.2472119 |
| 英文摘要 | The articles in this special section focus on the growing interest in biologically inspired learning (BIL), which refers to a wide range of learning techniques, motivated by biology, that try to mimic specific biological functions or behaviors. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/19322]  |
| 专题 | 复杂系统管理与控制国家重点实验室_深度强化学习 |
| 作者单位 | 1.University of Stirling, Scotland, UK 2.University of Technology, Sydney, AUSTRALIA 3.University of Windsor, Ontario, CANADA 4.Chinese Academy of Sciences, Beijing, CHINA |
| 推荐引用方式 GB/T 7714 | Amir,Hussain,Dacheng,Tao,Jonathan,Wu,et al. computational intelligence for changing environments[J]. IEEE Computational Intelligence Magazine,2015,11(10(4)):10-11. |
| APA | Amir,Hussain,Dacheng,Tao,Jonathan,Wu,&Zhao,Dongbin.(2015).computational intelligence for changing environments.IEEE Computational Intelligence Magazine,11(10(4)),10-11. |
| MLA | Amir,Hussain,et al."computational intelligence for changing environments".IEEE Computational Intelligence Magazine 11.10(4)(2015):10-11. |
入库方式： OAI收割
来源：自动化研究所
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