| 人工免疫记忆分类器类别不均匀分布分类研究 |
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| 引用本文： | 莫宏伟,徐立芳.人工免疫记忆分类器类别不均匀分布分类研究[J].计算机工程与应用,2005,41(32):9-11,18. |
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| 作者姓名： | 莫宏伟 徐立芳 |
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| 作者单位： | 哈尔滨工程大学自动化学院,哈尔滨,154001;哈尔滨工程大学自动化学院,哈尔滨,154001 |
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| 基金项目： | 国家自然科学基金资助（编号：60305007）;黑龙江省自然科学基金资助（编号：F0210）;哈尔滨工程大学校基础研究基金资助（编号：HEUF04076） |
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| 摘 要： | 类别分配不均匀是实际中常见的分类问题。文章利用基于免疫记忆的分类器—免疫记忆分类器研究该类问题。通过改进人工免疫记忆分类器距离度量方式,发现在比例选择平均距离度量情况下,该种分类器可以很好地解决类别分配不均匀问题。与另一种免疫分类方法AIRS和传统的KNN分类结果比较表明,人工免疫记忆分类器能够解决这类问题,效果好于后两者,为解决该类问题提供了新的思路和方法。
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| 关 键 词： | 人工免疫记忆分类器 类别不均匀分布 分类 |
| 文章编号： | 1002-8331-（2005）32-0009-03 |
| 收稿时间： | 2005-09 |
| 修稿时间： | 2005-09 |
Research of Artificial Immune Memory Classifier in Non-skewed Class Distribution |
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| Mo Hongwei,Xu Lifang.Research of Artificial Immune Memory Classifier in Non-skewed Class Distribution[J].Computer Engineering and Applications,2005,41(32):9-11,18. |
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| Authors: | Mo Hongwei Xu Lifang |
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| Abstract: | The non-skewed distribution of class is very common in real world. In this paper,artificial immune memory classifier is used to research such problem.By the ways of improving distance measure of artificial immune memory classifier,it is found that this kind of classifier can solve such problem well under the condition of proportion selection average distance measure.It is compared with another way based on artificial immune system-AIRS and traditional KNN.It shows that artificial immune memory classifier can solve such problem and has better performance than the two ways.It presents a new way for solving such problem. |
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| Keywords: | artificial immune memory classifier non-skewed class distribution classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
