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| 基于粗糙集支持向量机的空袭目标识别 | |
| 引用本文： | 王永成,王宏飞,姜长生.基于粗糙集支持向量机的空袭目标识别[J].火力与指挥控制,2011,36(9):133-135. |
| 作者姓名： | 王永成 王宏飞 姜长生 |
| 作者单位： | 1. 郑州航空工业管理学院,郑州450015;南京航空航天大学,南京210016 2. 南京炮兵学院,南京,211132 3. 郑州航空工业管理学院,郑州,450015 |
| 摘 要： | 为提高对空袭目标的识别能力,提出了一种基于粗糙集支持向量机的空袭目标识别方法.该模型用RS方法构建SVM数据处理系统的前置系统,充分利用RS理论在处理大数据量,消除冗余信息等方面的优势,减少了SVM训练数据,克服了SVM算法因为数据量太大而导致处理速度慢的缺点.根据分类识别的要求,在RS-SVM两类分类算法的基础上,建... |
| 关 键 词： | 粗糙集 支持向量机 目标识别 |
An Air Raid Target Recognition Based on Rough Set Support Vector Machine |
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| WANG Yong-cheng,WANG Hong-fei,JIANG Chang-sheng.An Air Raid Target Recognition Based on Rough Set Support Vector Machine[J].Fire Control & Command Control,2011,36(9):133-135. | |
| Authors: | WANG Yong-cheng WANG Hong-fei JIANG Chang-sheng |
| Institution: | WANG Yong-cheng1,2,WANG Hong-fei3,JIANG Chang-sheng1(1.Zhengzhou Institute of Aeronautical Industry Management,Zhengzhou,450015,China,2.Nanjing University ofAeronautics and Astronautics,Nanjing 210016,3.Nanjing Artillery Academy,Nanjing 211132,China) |
| Abstract: | In order to improve the ability of an air raid target recognition,a method of an air raid target recognition based on rough set support vector machine was proposed.The RS-method is advantage at processing big amount of data and removing redundancy information.So we take this method as the head system of the SVM data processing system to reduce SVM training data,therefore overcame the disadvantage of the SVM which is slow at processing big amount of data.According to the request of the recognition,this paper... |
| Keywords: | rough set support vector machine target recognition |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |