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Structure identification of fuzzy logic system based on clustering and SVD algorithm
Author(s): 
Pages: 615-618
Year: Issue:  4
Journal: CONTROL THEORY & APPLICATIONS

Keyword:  减法聚类奇异值分解模糊逻辑系统结构辨识;
Abstract: 为了研究模糊逻辑系统新的结构辨识方法,提出采用基于山峰函数的减法聚类算法构造模糊逻辑系统的初始结构,并利用奇异值分解(SVD)算法分析了模糊规则与奇异值、累积贡献率以及索引向量的关系,从而实现了模糊逻辑结构的优化.最后,对该算法的可行性和有效性进行了仿真验证和性能比较,取得了较好的效果.
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