Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/60598
Title: Fuzzy data window memory and its application to system identification by GA
Authors: Chow, KM
Rad, AB
Tsang, KM 
Keywords: Fuzzy Data Window Memory
Fuzzy identification
Genetic algorithms
Issue Date: 2003
Publisher: AutoSoft Press
Source: Intelligent automation and soft computing, 2003, v. 9, no. 1, p. 13-22 How to cite?
Journal: Intelligent automation and soft computing 
Abstract: In this paper, an approach for storing and retrieving the past data by means of a novel Fuzzy Data Window Memory (FDWM) is reported. The data, which is selected for memorization, is based on the highest firing strength of the fuzzy rule. The size of the proposed FDWM is much smaller than traditional window memory with no degradation in performance. A computer simulation study of one of the applications of the proposed FDWM is reported which uses the FDWM to reduce the training data set that will be used in the evaluation module in system identification by Genetic Algorithms (GA).
URI: http://hdl.handle.net/10397/60598
ISSN: 1079-8587
EISSN: 2326-005X
DOI: 10.1080/10798587.2000.10642838
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