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Title:
Developing a real-time inference approach for rule-based reasoning systems
Author: Qiao, Ying (1) ; Leng, Chang (1) ; Wang, Hongan (1) ; Liu, Jian (2)
Conference Name: 2013 Research in Adaptive and Convergent Systems, RACS 2013
Conference Date: October 1, 2013 - October 4, 2013
Issued Date: 2013
Conference Place: Montreal, QC, Canada
Publish Place: Association for Computing Machinery, General Post Office, P.O. Box 30777, NY 10087-0777, United States
Indexed Type: EI
ISBN: 9781450323482
Department: (1) Beijing Key Lab. of Human-computer Interaction, Institute of Software, Chinese Academy of Sciences, No.4, Zhong Guan Cun Nan Si St., Beijing, China; (2) Shanxi Electric Power Research Institute, YouYi East Rd., Xi'an Shan Xi, China
Abstract: Rule-based reasoning systems play importance roles for many real-time intelligent systems that need to take time-critical actions in response to the continuously arriving events. In this paper, we propose a novel inference approach, called RTINF to make the reasoning system meet its hard deadlines. A series of simulation studies are conducted to evaluate the performance of RTINF. © 2013 ACM.
English Abstract: Rule-based reasoning systems play importance roles for many real-time intelligent systems that need to take time-critical actions in response to the continuously arriving events. In this paper, we propose a novel inference approach, called RTINF to make the reasoning system meet its hard deadlines. A series of simulation studies are conducted to evaluate the performance of RTINF. © 2013 ACM.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/16665
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Qiao, Ying ,Leng, Chang ,Wang, Hongan ,et al. Developing a real-time inference approach for rule-based reasoning systems[C]. 见:2013 Research in Adaptive and Convergent Systems, RACS 2013. Montreal, QC, Canada. October 1, 2013 - October 4, 2013.
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