基于粗集和最大熵的模式识别方法  

Pattern recognition based on rough sets theory and maximum entropy method

作　　者：余卫雄[1] 姜礼平[1] 

机构地区：[1]海军工程大学基础部,湖北武汉430033

出　　处：《海军工程大学学报》2004年第3期97-100,共4页Journal of Naval University of Engineering

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。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.

关 键 词：模式识别 粗集 最大熵 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]