Application of pattern recognition based on rough set and optimized BP neural network

被引：0
|
作者：
Zheng, Lianwei [1 ]
Zhang, Xuefeng [1 ]
Ma, Qianying [1 ]
机构：
[1] Northeastern Univ, Sch Sci, Shenyang 110819, Liaoning, Peoples R China
来源：
2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2017年
关键词：
rough set; BP neural network; genetic algorithm; pattern recognition;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, rough set, genetic algorithm and BP neural network are combined together in pattern recognition. The neural network, rough set, and genetic algorithms are described in details. The wine dada in UCI database is considered and is dealt with by the above combination approach. The result shows that the accuracy of pattern recognition is improved and the cost of input is decreased. The proposed method has a high value of application. The approach presented in the paper is significant both in theory and practice.
引用
收藏
页码：3359 / 3362
页数：4
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