A NEW APPROACH TO RULE EXTRACTION BASED ON NICHING GENETIC ALGORITHM (RENGA)
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Graphical Abstract
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Abstract
In this paper, a approach to rule extraction based on niche genetic algorithm is proposed. The expression languages, encoding rules and searching strategy are discussed in detail. Compared with some other methods, this algorithm is more adaptive and more rapid to converge. The rules generated by this method are checked to be concise and easy to understand.
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