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一种基于贝叶斯网络和博弈论的信息融合模型
引用本文:于继江,廉飞宇.一种基于贝叶斯网络和博弈论的信息融合模型[J].江西师范大学学报(自然科学版),2010,34(2).
作者姓名:于继江  廉飞宇
作者单位:1. 荷泽学院计算机与信息工程系,山东,菏泽,274015
2. 上海大学计算机科学与工程学院,上海,200072
摘    要:针对多源信息融合问题,以博弈思想为指导构建博弈信息融合模型,在贝叶斯网络表示的基础上提出用于博弈融合模型的融合算法.在具体算法的研究中,按照博弈信息融合模型的要求,对原有的贝叶斯网络算法中节点判断算法和Parzen窗融合算法进行改进并将两者相结合,提出了博弈融合态势评估算法,并从理论上分析了融合算法的最坏时间复杂度.将博弈信息融合模型及其贝叶斯网络算法应用于交通状态预测中,针对交通车流量、车速、车流密度等多源动态问题,构建合适的贝叶斯网络模型,实现交通状态的预测,给出预测的仿真结果.

关 键 词:贝叶斯网络  博弈论  信息融合  算法  交通状态预测

A Model on Information Fusion Based on Bayesian Network and Game Theory
YU Ji-Jiang,LIAN Fei-yu.A Model on Information Fusion Based on Bayesian Network and Game Theory[J].Journal of Jiangxi Normal University (Natural Sciences Edition),2010,34(2).
Authors:YU Ji-Jiang  LIAN Fei-yu
Institution:YU Ji-Jiang1,LIAN Fei-yu2(1.Department of Computer and Information Engineering,Heze University,Heze Shandong 274015,China,2.School of Computer Engineering and Science,Shanghai University,Shanghai 200072,China)
Abstract:Aiming at the problem of multi-source information fusion,a game fusion model in the form of Bayesian network based on game theory has been propesed.In the study of algorithm for game fusion,according to the requires of game fusion model,the original-node-judgement algorithm have been improved and parzen windows fusion algorithm and integrate them together to form a new Situation Assessment algorithm,and analyse the time complexity in theory.Finally this thesis gets across a prediction example,in which the B...
Keywords:Bayesian network  game theory  information fusion  algorithm  forecast of traffic state  
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