Autonomous learning design in System-on-chip
文献类型：会议论文
| 作者 | Zhou Yimin; Krundel Ludovic; Mulvaney David; Chouliaras Vassilios; Xu Guoqing; Fu Guoqiang |
| 出版日期 | 2013 |
| 会议名称 | 2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013 |
| 会议地点 | Shenzhen, China |
| 英文摘要 | The solving strategy of artificial intelligence (AI) is adopted with bottom-up design to solve its hard problems. To tackle end-to-end AI-hard problems, a highly self-adaptive control system-on-chip has been developed to self-learn its internal and external resources with the aid of sets of sensors and actuators. Inspired by biological cell learning theory, different approaches of modelling techniques have been derived together with machine learning methods to the embedded control systems so as to perform different tasks. Some experimental results have shown the developments. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4548]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2013 |
| 推荐引用方式 GB/T 7714 | Zhou Yimin,Krundel Ludovic,Mulvaney David,et al. Autonomous learning design in System-on-chip[C]. 见:2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013. Shenzhen, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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