An adaptive fuzzy rule extraction using hybrid model of the fuzzy self-organizing map and the genetic algorithm with numerical chromosomes

被引：0
|
作者：
Nomura, T
Miyoshi, T
机构：
[1] ATR, Human Informat Proc Res Labs, Kyoto 61902, Japan
[2] Sharp Corp, Image Media Res Labs, Mihama Ku, Chiba 261, Japan
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 1998年 / 6卷 / 01期
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 propose a hybrid model of the fuzzified Kohonen's Self-Organizing Map and the Genetic Algorithms with numerical chromosomes, and automatic fuzzy rule extraction method that uses our model. The results show the possibility of superiority of our hybrid model in a Lamarckian stance to both of the individual models in cases where there is a tendency for data to change dynamically and quickly.
引用
收藏
页码：39 / 52
页数：14
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