| 粒子群算法的改进及其在文本分类上的应用 |
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| 引用本文： | 孙洋.粒子群算法的改进及其在文本分类上的应用[J].中央民族大学学报(自然科学版),2008,17(3):57-62. |
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| 作者姓名： | 孙洋 |
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| 作者单位： | 中央民族大学,研究生院,北京,100081 |
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| 摘 要： | 本文首先从加强全局搜索能力、提高种群多样性的角度对经典粒子群算法提出二点改进方案，并将改进后的粒子群算法用来作为训练文本分类的分类算法，实现了文本资源的自动分类．
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| 关 键 词： | 粒子群 优化 分类 数据挖掘 |
The Improvement of PSO Algorithm and Application of Text Classifier |
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| SUN Yang.The Improvement of PSO Algorithm and Application of Text Classifier[J].Journal of The Central University for Nationalities(Natural Sciences Edition),2008,17(3):57-62. |
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| Authors: | SUN Yang |
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| Institution: | SUN Yang ( Graduate School, Central University for Nationalities, Beijing 100081, China ) |
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| Abstract: | Two modified methods aiming at improving whole researching ability and variety of particles were put forward in this paper. Modified PSO was implemented as a method for classification rule discovery to accomplish a particle swarm text Classifier. |
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| Keywords: | PSO optimize classify data mining |
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