Abstract
This paper describes the application of a hybrid intelligent system (HIS) to extract decision trees from a trained support vector machine (SVM) model based on the TREPAN algorithm. TREPAN, a well-known technique developed originally to extract linguistic rules from a trained artificial neural network, is modified to cope with SVM models. The proposed approach is tested on five data sets with excellent performance results.
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