Application of pattern recognition based on rough set and optimized BP neural network
Lianwei Zheng, Xuefeng Zhang, Qianying Ma · 2017
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.