摘要: 介绍了粗糙集理论在字符识别中的应用。首先叙述了粗糙集理论的相关内容,并讨论了粗糙集中的概念和方法与字符识别的关系,然后介绍了几个常用的粗糙集在字符识别中应用的算法并给出了例子。
关键词:
粗糙集,
字符识别,
特征提取,
特征选择,
神经网络,
模式分类
Abstract: The theme of how to apply rough set theory in character recognition is introduced in this paper. Firstly, the related content of rough set theory is reviewed, and the relationship between the methods and concepts of rough set and that of character recognition is discussed. Then several algorithms of rough set theory and some examples are given.
中图分类号:
彭健,汪同庆,居琰,叶俊勇,杨波,任莉. 粗糙集理论在字符识别中的应用[J]. , 2002, 28(11): 201-.
PENG Jian, WANG Tongqing, JU Yan, YE Junyong, YANG Bo, REN Li. Application of Rough Set Theory in Character Recognition[J]. , 2002, 28(11): 201-.