Modular type-2 neuro-fuzzy systems

被引：0

作者：

Starczewski, Janusz ^{[1
]}

Scherer, Rafal ^{[1
]}

Korytkowski, Marcin ^{[1
]}

Nowicki, Robert ^{[1
]}

机构：

[1] Czestochowa Tech Univ, Dept Comp Engn, PL-42200 Czestochowa, Poland

来源：

PARALLEL PROCESSING AND APPLIED MATHEMATICS | 2008年 / 4967卷

关键词：

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In the paper we study a modular system which can be converted into a type-2 neuro-fuzzy system. The rule base of such system consists of triangular type-2 fuzzy sets. The modular structure is trained using the backpropagation method combined with the AdaBoost algorithm. By applying the type-2 neuro-fuzzy system, the modular structure is converted into a compressed form. This allows to overcome the training problem of type-2 neuro-fuzzy systems. An illustrative example is given to show the efficiency of our approach in the problems of classification.

引用

页码：570 / 578

页数：9

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