Applying Genetic Algorithm for Training Hybrid Neuro-Fuzzy Classifier — the nfgClass System

  • Piotr Grądzki
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 19)

Abstract

The paper briefly presents the nfgClass system — the hybrid neuro-fuzzy-(genetic) classifier that can be applied for designing intelligent decision support systems. The learning abilities of the presented system can be substantially improved by applying a genetic algorithm as. In order to compare the performance of the systems trained with different learning algorithms, there were built two decision support systems for the glass identification problem and another two for the abalone species age problem. In both cases the first system was trained with conjugate gradient algorithm and the second one with the genetic algorithm.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Piotr Grądzki
    • 1
  1. 1.Systems Research InstitutePolish Academy of SciencesWarsawPoland

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