Learning algorithm for Linguistic Information Feedback-based Dynamical Fuzzy System (LIFDFS)

被引：0
|
作者：
Gao, XZ [1 ]
Ovaska, SJ [1 ]
Wang, X [1 ]
机构：
[1] Aalto Univ, Inst Intelligent Power Elect, FIN-02150 Espoo, Finland
来源：
2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7 | 2004年
关键词：
dynamical fuzzy systems; linguistic information feedback; a -level sets; Backpropagation through time; learning algorithm;
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 the Linguistic Information Feedback-based Dynamical Fuzzy System (LIFDFS) proposed earlier by the authors is first introduced. The principles of alpha-level sets and Backpropagation Through Time (BTT) are also briefly discussed We employ these two methods to derive an explicit learning algorithm for the feedback parameters of the LIFDFS. With this training algorithm, our LITDFS becomes a potential candidate in solving real-time modeling and prediction problems.
引用
收藏
页码：2278 / 2285
页数：8
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