MultiGrid-based fuzzy systems for function approximation

被引：0
|
作者：
Herrera, LJ [1 ]
Pomares, H
Rojas, I
Valenzuela, O
Awad, M
机构：
[1] Univ Granada, Dept Comp Architecture & Technol, ETS Comp Engn, E-18071 Granada, Spain
[2] Univ Granada, Dept Appl Math, Fac Sci, E-18071 Granada, Spain
来源：
MICAI 2004: ADVANCES IN ARTIFICIAL INTELLIGENCE | 2004年 / 2972卷
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：
In this paper we make use of a modified Grid Based Fuzzy System architecture, which may provide an exponential reduction in the number of rules needed. We also introduce an algorithm that automatically, from a set of given I/O training points, is able to determine the pseudo-optimal architecture proposed as well as the optimal parameters needed (number and position of membership functions and fuzzy rule consequents). The suitability of the algorithm and the improvement in both performance and efficiency obtained are shown in an example.
引用
收藏
页码：252 / 261
页数：10
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