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《Journal of Dalian Maritime University》 2006-03
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Bayesian network based on information theory and immune genetic algorithm

ZHANG Wei-wei,LU Yu-zhen,SUN Jian-ying(Math.Dept.,Dalian Maritime Univ.,Dalian 116026,China)  
This paper proposed a new method to study Bayesian network(BN),which is based on the methods of information theory and immune genetic algorithm to find out the optimal BN structure.First it used the information entropy theory to search the possible network structure quickly.Then,found out the best BN structure using the immune genetic algorithm.In this way,it not only reduced the computing complexity and increased the effectiveness of studying BN structure,but also avoided the problems of local convergence in the traditional methods.The experiment reveals the effectiveness of the new method.
【CateGory Index】: O157.5
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 YUAN Zhi-gang,FU Yan,LI Xin-yu(College of Computer Science & Engineering, UESTC, 610054, China);Research of learning Bayesian networks structure[J];Journal of Chengdu University of Information Technology;2005-04
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【Secondary Citations】
Chinese Journal Full-text Database 2 Hits
1 LIN Dan, KOU Ji song, LI Min qiang Institute of Systems Engineering, Tianjin University, Tianjin 30072;On some problems of researching and applying genetic programming[J];JOURNAL OF MANEGEMENT SCIENCES IN CHINA;1999-04
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