| 基于粗集和最大熵的模式识别方法 |
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| 引用本文： | 余卫雄,姜礼平. 基于粗集和最大熵的模式识别方法[J]. 海军工程大学学报, 2004, 16(3): 97-100 |
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| 作者姓名： | 余卫雄 姜礼平 |
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| 作者单位： | 海军工程大学,基础部,湖北,武汉,430033 |
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| 摘 要： | 用基于属性约简的粗集理论找出条件属性的最小属性集。对属性间为不确定因果关系的模式,计算在最大熵情况下发生的概率,通过比较概率来进行模式识别,实例分析和结论部分说明这种方法是有效的。
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| 关 键 词： | 模式识别 粗集 最大熵 |
| 文章编号： | 1009-3486(2004)03-0097-04 |
| 修稿时间： | 2003-10-24 |
Pattern recognition based on rough sets theory and maximum entropy method |
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| YU Wei-xiong,JIANG Li-ping. Pattern recognition based on rough sets theory and maximum entropy method[J]. Journal of Naval University of Engineering, 2004, 16(3): 97-100 |
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| Authors: | YU Wei-xiong JIANG Li-ping |
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| Abstract: | The rough sets theory based on reduction finds the rule-based model made up of the least attributes. Maximum entropy is applied to find the probability distribution of a pattern with indeterminate causalities between attributes. Pattern recognition is made by comparison of probabilities. It is shown that the means is practical in the last two parts of the paper. |
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| Keywords: | pattern recognition rough sets theory maximum entropy |
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