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《Computer Engineering and Design》 2005-04
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Fuzzy pattern recognition based on genetic algorithm and its application

LIU Su-hua, HAN Ping (Department of Computer Science, Zhengzhou Institute of Technology, Zhengzhou 450052, China)  
Aiming at the characteristic of recognizing grain pest, a method is proposed with fuzzy theory. Fuzzy C-means clustering is introduced and remarked firstly. On the basis of systematic analysis of current algorithms, genetic algorithm is inducted into fuzzy clus- tering to solve the locality and the sensitiveness of the initial condition of Fuzzy C-means clustering by searching randomly and in paral- lelism. Then, the fuzzy discern method is proposed based on approximation value and the principle of selecting the near. The deficiency of dose-approximation value is proposed and improved. The example shows that the method is feasible and efficient, and it widens the application of genetic algorithm and fuzzy theory.
【Fund】: 河南省科技攻关基金项目(0224010011)
【CateGory Index】: TP391.4
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