Simple modification of Takagi-Sugeno model

被引：0
|
作者：
Butkiewicz, B [1 ]
机构：
[1] Warsaw Univ Technol, Inst Elect Syst, PL-00665 Warsaw, Poland
来源：
NEURAL NETWORKS AND SOFT COMPUTING | 2003年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The Takagi-Sugeno model is very popular in fuzzy logic area. It can approximate different functions and physical processes. However, it is known that the model has one inconvenience. If simple triangular or trapezoidal membership functions are used for fuzzy sets then in intermediate area, described example by two fuzzy sets (conclusions of two rules) and two approximate functions used in these rules, the model can not approximate the process well. In the paper simple modification of the model is presented as one giving very good result.
引用
收藏
页码：504 / 509
页数：6
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