A fuzzy associative memory pattern classifier

Xue Zhong, G. Xinbo, Xie Weixin
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Abstract

Firstly, a fuzzy associative memory pattern classifier (FAMPC) based on fuzzy set maps and the generation method of fuzzy rules is presented. Secondly, a fuzzy neural network is developed to realize the classifier based on fuzzy-neural hybrid system theories. Finally, the advantages of FAMPC are shown with an experiment by comparing it with the conventional method. The results show that FAMPC can obtain satisfactory recognition performance.
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模糊联想记忆模式分类器
首先,提出了一种基于模糊集映射和模糊规则生成方法的模糊联想记忆模式分类器(FAMPC)。其次,基于模糊神经混合系统理论,建立了模糊神经网络来实现分类器。最后,通过实验对比了FAMPC与传统方法的优越性。结果表明,FAMPC能获得满意的识别效果。
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