| 模糊分类系统的邻域原理设计算法 |
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| 引用本文： | 刘华富,张文生. 模糊分类系统的邻域原理设计算法[J]. 计算机工程与设计, 2007, 28(17): 4065-4067,4115 |
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| 作者姓名： | 刘华富 张文生 |
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| 作者单位： | 长沙大学,计算机科学与技术系,湖南,长沙,410003;中国科学院,自动化研究所,北京,100080 |
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| 基金项目： | 国家重点基础研究发展计划(973计划) , 湖南省科技计划 , 长沙市科技计划基金 |
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| 摘 要： | 使用支持向量机算法直接求海量数据的模糊分类系统是相当困难的.为了解决这个问题,提出了基于邻域原理设计模糊分类系统的方法.将支持向量机的理论建立在距离空间上,设计出了计算支持向量的邻域算法;利用所求的支持向量,基于平分最近点方法设计出了求分类超平面的算法,求出模糊分类系统,该算法优于基于支持向量机直接求模糊分类系统的方法.实验结果说明,该方法可有效地解决对海量数据的模糊分类系统的设计问题.
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| 关 键 词： | 邻域原理 支持向量 支持向量机算法 模糊分类系统 海量数据 |
| 文章编号： | 1000-7024（2007）17-4065-03 |
| 修稿时间： | 2007-03-01 |
Design algorithm of fuzzy classification system based on neighborhood theory |
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| LIU Hua-fu,ZHANG Wen-sheng. Design algorithm of fuzzy classification system based on neighborhood theory[J]. Computer Engineering and Design, 2007, 28(17): 4065-4067,4115 |
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| Authors: | LIU Hua-fu ZHANG Wen-sheng |
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| Affiliation: | 1. Department of Computer Science and Technology, Changsha University, Changsha 410003, China; 2. Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China |
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| Abstract: | It is rather difficult to design a fuzzy massive data classification system by using support vector machine directly algorithm.To solve this problem,a method is proposed to design fuzzy classification system based on neighborhood theory.Vapnik's support vector machine theory is constructed on the distance space,the algorithm is designed to compute support vectors;Make use of the support vector,the algorithm is designed to calculate optimal classification hyper plane based on the method of dividing equally point recent,then,to get fuzzy classification system,that calculate way better than the method of getting directly fuzzy classification system according to support the vector machine;The result of experiment illustrates the problem of designing fuzzy massive data classification system is effectively solved by using this method. |
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| Keywords: | neighborhood theory support vector support vector machine algorithm fuzzy classification system massive data |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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