| 基于RBF网络的粗糙集属性约简策略 |
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| 引用本文： | 崔明义,耿向平. 基于RBF网络的粗糙集属性约简策略[J]. 安阳工学院学报, 2006, 0(3): 23-26 |
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| 作者姓名： | 崔明义 耿向平 |
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| 作者单位： | 河南财经学院,计算机科学系,郑州,450002;河南财经学院,计算机科学系,郑州,450002 |
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| 基金项目： | 河南省自然科学基金 , 河南省高校杰出科研创新人才工程项目 |
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| 摘 要： | 粗糙集理论被广泛应用于人工智能、模式识别、数据挖掘和知识发现等领域。而对象的属性约简是是粗糙集理论中的重要问题之一。由于属性约简计算量较大,影响了的粗糙集的实际应用。本文用RBF神经网络高效和OLS对称性的特点,研究粗糙集属性的约简,解决了属性约简的难题,完成了算法的实现,取得了较好的效果。
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| 关 键 词： | 粗糙集 属性约简 RBF网络 算法 |
| 文章编号： | 1673-2928（2006）03-0023-04 |
| 收稿时间： | 2006-03-08 |
| 修稿时间： | 2006-03-08 |
Reduction of Rough Sets Attributes Based on RNF Networks |
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| CUI Ming-Yi,GENG Xiang-Ping. Reduction of Rough Sets Attributes Based on RNF Networks[J]. Journal of Anyang Institute of Technology, 2006, 0(3): 23-26 |
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| Authors: | CUI Ming-Yi GENG Xiang-Ping |
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| Abstract: | Rough sets theory was used widely to artificial intelligence, pattern recognition, data mining and knowledge discovery etc fields. Reduction of object attributes is one of important problems of rough sets theory. Actual use of rough sets was affected by more calculations on attribute reduction. In this paper, reduction of rough sets attributes was researched with high efficiency of RBF neural networks and symmetry property of OLS. The difficult problem of attributes reduction was solved by it. Implementation of algorithm was accomplished by it. A better result was gained from it. |
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| Keywords: | Rough Sets Attributes Reduction RBF Networks Algorithms |
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