HYBRID NEURO-FUZZY CLASSIFIER BASED ON NEFCLASS MODEL

Bogdan Gliwa, Aleksander Byrski

Abstract


The paper presents hybrid neuro-fuzzy classifier, based on NEFCLASS model, which wasmodified. The presented classifier was compared to popular classifiers – neural networks andk-nearest neighbours. Efficiency of modifications in classifier was compared with methodsused in original model NEFCLASS (learning methods). Accuracy of classifier was testedusing 3 datasets from UCI Machine Learning Repository: iris, wine and breast cancer wisconsin.Moreover, influence of ensemble classification methods on classification accuracy waspresented.

Keywords


Neuro-fuzzy classifier; NEFCLASS; neural networks; fuzzy systems

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DOI: https://doi.org/10.7494/csci.2011.12.0.115

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