Adaptive fuzzy aggregation neurons for knowledge-based networks

被引：0
|
作者：
Salido, JMF [1 ]
Murakami, S [1 ]
机构：
[1] Kyushu Inst Technol, Fac Engn, Dept Comp Sci, Tobata Ku, Kitakyushu, Fukuoka 8048550, Japan
来源：
KNOWLEDGE-BASED INTELLIGENT INFORMATION ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, PTS 1 AND 2 | 2001年 / 69卷
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：
In this paper, we show how to design fuzzy aggregators for the neurons used in Knowledge-Based Networks using the novel concept of orness distribution functions. In this way, the nature of the neurons (and like, or like or compensated) can be adapted through the learning procedure of the network to the specific characteristics of the problem at hand. An example application of this method to the Wisconsin Breast Cancer Database is also provided.
引用
收藏
页码：1528 / 1532
页数：5
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