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Abstract
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Article Information:
Heuristic Model of Cellular Learning Automata for Fuzzy Rule Extraction
Mohammad Javad Fattahi Hasan Abad and Pouya Derakhshan-Barjoei
Corresponding Author: Pouya Derakhshan-Barjoei
Submitted: December 23, 2011
Accepted: January 21, 2012
Published: June 15, 2012 |
Abstract:
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In this study, a new method has been proposed for rule extraction required for a fuzzy classification
system using Cellular Learning Automata Based on Evolutionary Computing (CLA-EC) model. CLA-EC model
is an evolutionary algorithm which is a result of the combination of a cellular learning automata with the
concepts mentioned in evolutionary computing. It has been shown a higher applicability in optimization fields
than CLA and genetic algorithms. Finally, in order to show the applicability of the proposed method, "Iris"
standard database for testing purposes has been used.
Key words: Clustering, evolutionary computing, fuzzy rule extraction, learning automata, , ,
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Abstract
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Cite this Reference:
Mohammad Javad Fattahi Hasan Abad and Pouya Derakhshan-Barjoei, . Heuristic Model of Cellular Learning Automata for Fuzzy Rule Extraction. Research Journal of Applied Sciences, Engineering and Technology, (12): 1701-1707.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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