Outcomes of Neural and Rule-based Classifiers as Criterions in Bi-objective Evolutionary Optimization of Feature Space in Pattern Recognition

Abstract

Neural networks are widely used as classifiers in many pattern recognition problems because of good generalization abilities, what is a crucial issue in any practical application. However, vast majority of neural network architectures demands a huge computational effort for the training process, what in turn limits such solutions from application in one… (More)

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12 Figures and Tables