A neuro-fuzzy classifier based on the fuzzy perceptron

被引：0
|
作者：
Xu, L.-J. [1 ]
Yu, Y.-L. [1 ]
机构：
[1] Dept. of Electron. and Commun. Eng., South China Univ. of Tech., Guangzhou 510640, China
来源：
Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science) | 2001年 / 29卷 / 09期
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摘要：
For a neuro-fuzzy classifier based on the fuzzy perceptron, this paper analyses how membership function constraints affect the classification result. Based on these, according to the concept of the fuzzy density, a method is proposed to choose suitable fuzzy partitions for input features. Simulations show that it can effectively improve the classification correct rate.
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页码：40 / 44
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