A Multi-layered Dynamic Neural Group Method for Characteristic Patterns Identification and Prediction of Complex Event Series
文献类型：会议论文
| 作者 | Li X(李响); Wang YC(王越超) ; Li HY(李洪谊)
|
| 出版日期 | 2009 |
| 会议日期 | February 22-25, 2009 |
| 会议地点 | Bangkok, THAILAND |
| 关键词 | Neural Group Network Multi-layered Characteristic Identification Evaluation Strategy Event Series |
| 页码 | 19-24 |
| 英文摘要 | In this paper, a new method based on multi-layered dynamic neural group network for analyzing event series is introduced. By the embedded multiple parallel structures, the new method can identify the character patterns contained in the event series. Then, a selective evaluation strategy is applied to integrate the different pattern clusters and predict the event in the next step. The aim is to generate the complex dynamic behaviors about the controlled system. The fundamental concepts and framework of this method are explained in detail. The effectiveness of our approach is demonstrated on the Internet-based telerobot soccer system by simulation experiments. The results are compared to those based on static neural group network. It is showed that, the telerobot can produce the predictive behaviors with high accuracy under the control of multi-layered dynamic neural group network. The proposed method could properly increase the local-autonomy of telerobot and maintain the stability of system. The conclusions and future work are described in the end. |
| 源文献作者 | IEEE Robot & Automat Soc |
| 产权排序 | 1 |
| 会议录 | 2008 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-4
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| 会议录出版者 | IEEE |
| 会议录出版地 | NEW YORK |
| 语种 | 英语 |
| ISBN号 | 978-1-4244-2678-2 |
| WOS记录号 | WOS:000271966900004 |
| 源URL | [http://ir.sia.cn/handle/173321/8490]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 作者单位 | 1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, China 2.Graduate School of Chinese Academy of Sciences, Shenyang, Liaoning Province, China |
| 推荐引用方式 GB/T 7714 | Li X,Wang YC,Li HY. A Multi-layered Dynamic Neural Group Method for Characteristic Patterns Identification and Prediction of Complex Event Series[C]. 见:. Bangkok, THAILAND. February 22-25, 2009. |
入库方式： OAI收割
来源：沈阳自动化研究所
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