How to determine the minimum number of rules to achieve given accuracy

被引：0
|
作者：
Feng, W [1 ]
Wang, LX [1 ]
Zhu, HY [1 ]
Sun, YX [1 ]
机构：
[1] Hong Kong Univ Sci & Technol, Dept Elect & Elect Engn, Hong Kong, Hong Kong, Peoples R China
来源：
10TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3: MEETING THE GRAND CHALLENGE: MACHINES THAT SERVE PEOPLE | 2001年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Fuzzy systems have been proved to be universal approximators, yet a large number of fuzzy rules may be needed for high approximation accuracy. In this paper, we consider how to determine the minimum number of fuzzy rules required in a fuzzy system for approximation to achieve a given accuracy and how to construct this fuzzy system when there are only a limited number of input-output data pairs of the unknown system. The key point is to partition the input space nonuniformity. In particular, a tunnel algorithm is utilized for the single-input case. Numerical examples are given to demonstrate the proposed idea and algorithm.
引用
收藏
页码：566 / 569
页数：4
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