Efficient learning Bayesian networks using PSO

被引：0

作者：

Du, T ^{[1
]}

Zhang, SS ^{[1
]}

Wang, ZJ ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Shanghai 200030, Peoples R China

来源：

COMPUTATIONAL INTELLIGENCE AND SECURITY, PT 1, PROCEEDINGS | 2005年 / 3801卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we firstly introduce particle swarm optimization to the problem of learning Bayesian networks and propose a novel structure learning algorithm using PSO. To search in DAG spaces efficiently, a discrete PSO algorithm especially for structure learning is proposed based on the characteristics of Bayesian networks. The results of experiments show that our PSO based algorithm is fast for convergence and could obtain better structures compared with CA based algorithms.

引用

页码：151 / 156

页数：6

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