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《Modern Electronics Technique》 2007-01
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Improving of Junction Tree Algorithm in Exact Inference of DBNs

ZHOU Benda,ZHAO Jianzhong(West Anhui University,Liuan,237012,China)  
To solve the dynamic uncertainty problem which is based on DBNs,the efficiency of process is decided by inference algorithm.The paper presents a new 112 slices Junction Tree algorithm which don′t need elimination order limited and constitute the Junction Tree only one time.So it′s more simple and has a lower complexity.
【Fund】: 安徽省教育厅自然科学基金项目(2004kj357)资助
【CateGory Index】: TP183
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 YAO Hongliang,WANG Hao,HU Xuegang (Department of Computer Science and Technology,Hefei University of Technology, Hefei 230009);Model Representing of Multi-agent Interactions Based on Dynamic Bayesian Networks[J];Computer Engineering;2003-16
【Co-citations】
Chinese Journal Full-text Database 5 Hits
1 TENG Li-Hua(College of Biological and Environmental Science of Zhejiang Wanli University,Ningbo 315100,China);Application of Bayesian Network and MAS in Eco-industrial[J];Complex Systems and Complexity Science;2008-01
2 TENG Lihua(College of Biological and Environmental Science of Zhejiang Wanli University,Ningbo 315100,China);Prospect of Application of Models from Mathematics and Computer Science on Eco-Industry[J];Guangdong Trace Elements Science;2008-01
3 TENG Lihua(College of Biological and Environmental Science,Zhejiang Wanli University Ningbo 315100,China);Modeling Relationship among Enterprise Agents in Eco-Industrial System based on Bayesian Network[J];Guangdong Trace Elements Science;2008-04
4 ZHOU Ben-da,ZHAO Jian-zhong(Dept.of Mathematics & Physics,West Anhui University,Lu'an 237012,China);Improvement of the junction tree algorithm for exact inference in dynamic Bayesian networks[J];Journal of Hefei University of Technology(Natural Science);2006-10
5 QU Cheng-ming,LING You-zhu,JIANG Ming,CHEN Qi-gong(Departmeut of Electrical Engineering,Anhui University of Technology and Science,Wuhu 241000,China);The Application of Multi-agent Technology in the Tension Coordination Control System[J];Mechanical & Electrical Engineering Magazine;2006-06
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