实现算法以支持向量机(support vector machine,SVM)和模糊分类器(fuzzy classifier)作为全局与局部分类器,命名为SFC.为全局分类器定义了SVM决策信用度的评估机制,并以此给出局部分类器的启动条件.
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④多级加权模糊分类器的提出。
针对一类基于模糊感知器的神经模糊分类器，分析了隶属函数限制条件对分类结果的影响。
For a neuro_fuzzy classifier based on the fuzzy perceptron, this paper analyses how membership function constraints affect the classification result.
基于竞争学习算法的模糊分类器确定系统的模糊空间和模糊规则数，并得出每个样本对每条规则的适用程度。
The fuzzy space structure of system and the number of fuzzy rules based on fuzzy competitive learning algorithm are determined and the fitness degree of each rule contrast to each sample is obtained.
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