Hardware Asynchronous Cellular Automata of Spiking Neural Networks on SoC for Autonomous Machines
文献类型：会议论文
| 作者 | Zhou Yimin; Krundel Ludovic; Mulvaney David; Chouliaras Vassilios; Xu Guoqing |
| 出版日期 | 2013 |
| 会议名称 | 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013 |
| 会议地点 | Melbourne, VIC, Australia |
| 英文摘要 | The research field of artificial intelligence (AI) has long abode by the top-down problem solving strategy. Yet, we have adopted bottom-up design thinking to solve its hard problems. To tackle end-to-end AI-hard problems, a highly self-adaptive control system-on-chip (SoC) 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 (ML) methods to the embedded control systems so as to perform different tasks. This paper lays out our developments of the above. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4546]  |
| 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. Hardware Asynchronous Cellular Automata of Spiking Neural Networks on SoC for Autonomous Machines[C]. 见:2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013. Melbourne, VIC, Australia. |
入库方式： OAI收割
来源：深圳先进技术研究院
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