Simplification of Neuro-Fuzzy Models

被引：0
|
作者：
Siminski, Krzysztof [1 ]
机构：
[1] Silesian Tech Univ, Inst Informat, PL-44100 Gliwice, Poland
来源：
MAN-MACHINE INTERACTIONS | 2009年 / 59卷
关键词：
neuro-fuzzy system; hierarchical partition; simplification; INFERENCE SYSTEM; IDENTIFICATION;
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 neuro-fuzzy system presented in the paper is a system with parameterized consequences implementing hierarchical partition of the input domain. The regions are described with attributes values. In this system not all attribute values must be used to constitute the region. The attributes of minor importance may be ignored. The results of experiments show that the simplified model have less parameters and can achieve better generalisation ability.
引用
收藏
页码：265 / 272
页数：8
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