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    Abstract
2012 (Vol. 4, Issue: 12)
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 

Key words:  Clustering, evolutionary computing, fuzzy rule extraction, learning automata, , ,
Vol. 4 , (12): 1701-1707
Submitted Accepted Published
December 23, 2011 January 21, 2012 June 15, 2012
Abstract:

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.
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  Cite this Reference:
Mohammad Javad Fattahi Hasan Abad and Pouya Derakhshan-Barjoei, 2012. Heuristic Model of Cellular Learning Automata for Fuzzy Rule Extraction.  Research Journal of Applied Sciences, Engineering and Technology, 4(12): 1701-1707.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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