| 一种基于粗集理论的动态学习算法 |
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| 引用本文： | 徐嘉彬,高晓红.一种基于粗集理论的动态学习算法[J].楚雄师范学院学报,2010,25(3):32-34,43. |
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| 作者姓名： | 徐嘉彬 高晓红 |
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| 作者单位： | 楚雄师范学院数学系,云南,楚雄,675000 |
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| 摘 要： | 本文对数据库中新增对象重新进行分类,并对此提出了一种基于粗集理论的动态学习算法DLA,并对动态学习算法与传统算法在执行的时间长短上进行比较,得出动态学习算法能在数据库应用中有效地减少更新过程中的计算量,从而达到提高效率的目的。
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| 关 键 词： | 粗集 动态学习 数据库 新增对象 |
A Dynamic Learning Algorithm(DLA) Based on Rough Set Theory |
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| XU Jia-bin,GAO Xiao-hong.A Dynamic Learning Algorithm(DLA) Based on Rough Set Theory[J].journal of chuxiong normal university,2010,25(3):32-34,43. |
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| Authors: | XU Jia-bin GAO Xiao-hong |
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| Institution: | XU Jia-bin,GAO Xiao-hong(Department of Mathematics,Chuxiong Normal University,Chuxiong 675000,China) |
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| Abstract: | In this paper,the author reclassified the new objects in the database,and put forward a dynamic learning algorithm(DLA) based on rough set theory,and compared the dynamic learning algorithm with the traditional algorithm in the implementation of length of time,dynamic learning algorithm derived in the database applications can effectively reduce the computational complexity,so as to enhance the computational efficiency. |
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| Keywords: | rough set dynamic study data base new object |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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