Citation
Sm. Zhou et Ld. Xu, A new type of recurrent fuzzy neural network for modeling dynamic systems, KNOWL-BAS S, 14(5-6), 2001, pp. 243-251
Citations number
13
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
KNOWLEDGE-BASED SYSTEMS
ISSN journal
09507051
→ ACNP
Volume
14
Issue
5-6
Year of publication
2001
Pages
243 - 251
Database
ISI
SICI code
0950-7051(200107)14:5-6<243:ANTORF>2.0.ZU;2-J
Abstract
In this paper, a new type of neural network called recurrent fuzzy neural n
etwork (RFNN) is proposed to model the fuzzy dynamical systems (FDS). FDS i
s considered as an order system. The network developed in this paper is bas
ed on recurrent neural networks (RNN) to capture the dynamical properties o
f FDS. The training algorithm is derived based on the tool of order derivat
ive. An example is given to demonstrate the validity of the approach. (C) 2
001 Elsevier Science B.V. All rights reserved.