Data structure for a fuzzy machine learning algorithm

被引：0
|
作者：
Hong, TP
Lee, CY
机构：
来源：
PROCEEDINGS OF THE SIXTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS I - III | 1997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：
In [I], we proposed a general learning method for automatically deriving fuzzy-if-then rules and membership functions from a set of given training examples by merging the decision tables and membership functions. In this paper, we present an appropriate data structure upon which to base that learning method. A decision away and membership function arrays are used. Depending on the data structure used, procedures for implementing each step in the original learning algorithm efficiently are available.
引用
收藏
页码：1315 / 1319
页数：5
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