| 基于粒子群优化算法的模式分类规则获取 |
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| 引用本文： | 高亮,高海兵,周驰,喻道远.基于粒子群优化算法的模式分类规则获取[J].华中科技大学学报(自然科学版),2004,32(11):24-26. |
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| 作者姓名： | 高亮 高海兵 周驰 喻道远 |
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| 作者单位： | 华中科技大学,机械科学与工程学院,湖北,武汉,430074 |
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| 基金项目： | 国家自然科学基金资助项目 (5 0 30 5 0 0 8) |
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| 摘 要： | 提出了基于粒子群优化的规则提取算法．该算法将规则编码为粒子，通过粒子群优化算法的速度-位移搜索模型以及粒子保存的记忆信息指导生成模式分类规则集．算法用于Iris数据集模式分类规则的提取．与其他规则提取方法比较，该算法在提高分类规则正确率的同时减少了计算费用．
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| 关 键 词： | 规则提取 粒子群优化算法 群体智能 |
| 文章编号： | 1671-4512(2004)11-0024-03 |
| 修稿时间： | 2004年2月20日 |
Acquisition of pattern classification rule based on particle swarm optimization |
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| Gao Liang,Gao Haibing,Zhou Chi,Yu Daoyuan Gao Liang,Assoc. Prof..Acquisition of pattern classification rule based on particle swarm optimization[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2004,32(11):24-26. |
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| Authors: | Gao Liang Gao Haibing Zhou Chi Yu Daoyuan Gao Liang Assoc Prof |
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| Institution: | Gao Liang Gao Haibing Zhou Chi Yu Daoyuan Gao Liang Assoc. Prof., Department of Industrial Engineering,Huazhong Univ. of Sci. & Tech.,Wuhan 430074,China. |
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| Abstract: | This paper presented a rule extraction algorithm based on particle swarm optimization. A single rule was encoded as a particle; through its velocity-position search model and the information stored by the particles, the optimal classification rule set was generated. The proposed algorithm was used to generate pattern classification rules for Iris data set. The simulation results showed that the classification rules generated by the proposed algorithm achieved more classification accuracy and lower computational cost than the other methods. |
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| Keywords: | rule extraction particle swarm optimization swarm intelligence |
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