Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14275
Title: Optimization of fused fuzzy systems via genetic algorithms
Authors: Chan, PT
Rad, AB
Tsang, KM 
Keywords: Fused structure
Fuzzy systems
Genetic algorithms
Rule-table transformation
Issue Date: 2002
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on industrial electronics, 2002, v. 49, no. 3, p. 685-692 How to cite?
Journal: IEEE transactions on industrial electronics 
Abstract: In this paper, the problem of optimization of fused fuzzy systems via genetic algorithms is addressed. The proposed architecture separates a large fuzzy rule optimization problem into a series of more manageable and smaller problems through rule-table transformation. The algorithm is applied to the cart-pole system to demonstrate its characteristics.
URI: http://hdl.handle.net/10397/14275
ISSN: 0278-0046
EISSN: 1557-9948
DOI: 10.1109/TIE.2002.1005396
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

20
Last Week
0
Last month
0
Citations as of Sep 26, 2017

WEB OF SCIENCETM
Citations

11
Last Week
0
Last month
0
Citations as of Sep 21, 2017

Page view(s)

43
Last Week
4
Last month
Checked on Sep 24, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.