| 一种基于messyGA的分类规则提取算法 |
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| 引用本文： | 田伟.一种基于messyGA的分类规则提取算法[J].太原科技,2010,194(3):81-82. |
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| 作者姓名： | 田伟 |
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| 作者单位： | 兰州交通大学电子与信息工程学院,甘肃,兰州,730070 |
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| 摘 要： | 目前的遗传算法还普遍受限于模式定理，基于积木块假设的算法使得低阶短定义距的特征保留，影响到了算法的全局搜索能力。一种基于messyGA的分类算法，克服了只有低阶短定义距模式构成最优解的缺点，实验结果表明，该规则提取算法优于传统分类算法。
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| 关 键 词： | 数据挖掘 分类 遗传算法 |
An Algorithm for Classification Rules Based on MessyGA |
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| Tian Wei.An Algorithm for Classification Rules Based on MessyGA[J].Taiyuan Science and Technology,2010,194(3):81-82. |
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| Authors: | Tian Wei |
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| Institution: | Tian Wei (College of Electronic,Lanzhou Jiaotong University,Lanzhou 730070,China) |
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| Abstract: | At present, genetic algorithm universally was limited by scheme theorem. Algorithm based on building block hypothesis affected general search capability of algorithm. In this paper, the author put forward classification rules based on messyGA which sovled disadvantages of definition of low-level short-distance mode. The results indicated that classification rules based on messyGA was superior to other classification algorithm. |
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| Keywords: | data mining classification genetic algorithm |
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