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A technique to optimize the Standard Additive Model (SAM) fuzzy system for nonlinear system approximation is presented. First, fuzzy rules are initialized more much than usual by employing Centroid Neural Network (CNN) and then the genetic algorithm-based optimization process used to exclude unnecessary and redundant rules; thereafter, the(More)
The habitual purpose of data mining is prediction, one of the most direct real-world applications. There are many technologies available to data mining in literature and they achieved some results with reasonable accuracies. This paper designs and implements an advanced model based on fuzzy inference system, namely Standard Additive Model (SAM) for(More)
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