| 基于粒子群优化算法的Bayesian网络结构学习 |
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| 引用本文： | 刘欣,JIA Hai-yang,刘大有.基于粒子群优化算法的Bayesian网络结构学习[J].小型微型计算机系统,2008,29(8). |
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| 作者姓名： | 刘欣 JIA Hai-yang 刘大有 |
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| 作者单位： | 吉林大学,计算机科学与技术学院,吉林,长春,130012 |
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| 基金项目： | 国家自然科学基金，国家自然科学基金，国家高技术研究发展计划(863计划)，吉林省科技发展计划，吉林省科技发展计划，欧盟TH/Asia Link/010项目 |
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| 摘 要： | 近年来,Bayesian网络已经成为人工智能领域的研究热点.为了更广泛的应用Bayesian网络,本文采用粒子群优化搜索算法,通过对粒子群算法中各个算子的确定,从训练数据样本中学习到Bayesian网络结构,并用测试数据样本测试学习结果与训练数据的匹配程度,试验结果表明,该算法能有效地学习到Bayesian网络结构.
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| 关 键 词： | 粒子群算法 贝叶斯网络 结构学习 |
Learn Bayesian Networks Based on Particle Swarm Optimization |
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| LIU Xin,JIA Hai-yang,LIU Da-you.Learn Bayesian Networks Based on Particle Swarm Optimization[J].Mini-micro Systems,2008,29(8). |
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| Authors: | LIU Xin JIA Hai-yang LIU Da-you |
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| Affiliation: | LIU Xin,JIA Hai-yang,LIU Da-you(College of Computer Science , Technology,Jilin University,Changchun 130012,China)(Key Laboratory of Symbolic Computation , Knowledge Engineering of Ministry of Education,China) |
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| Abstract: | Bayesian Networks and the algorithms to learn Bayesian Networks structure have been paid more and more attention by artificial intelligence researcher.This paper adopts particle swarm optimization to learn Bayesian networks structure from the training data set,and then estimating the network structure this approach learned using the test data set.Finally,the experimental result demonstrates this approach's accuracy. |
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| Keywords: | particle swarm optimization bayesian networks structure learning |
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