Hybrid Neuro-Fuzzy Classifier Based On Nefclass Model

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 (le...

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Main Authors: Bogdan Gliwa, Aleksander Byrski
Format: Article
Language:English
Published: AGH University of Science and Technology Press 2011-01-01
Series:Computer Science
Subjects:
Online Access:http://journals.agh.edu.pl/csci/article/download/96/50
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author Bogdan Gliwa
Aleksander Byrski
author_facet Bogdan Gliwa
Aleksander Byrski
author_sort Bogdan Gliwa
collection DOAJ
description 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.
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spelling doaj.art-0db8227026bb40d9b1b4286e7f237f612022-12-21T18:24:39ZengAGH University of Science and Technology PressComputer Science1508-28062011-01-011211510.7494/csci.2011.12.0.115Hybrid Neuro-Fuzzy Classifier Based On Nefclass ModelBogdan Gliwa0Aleksander Byrski1AGH University of Science and TechnologyAGH University of Science and TechnologyThe 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.http://journals.agh.edu.pl/csci/article/download/96/50Neuro-fuzzy classifier; NEFCLASS; neural networks; fuzzy systems
spellingShingle Bogdan Gliwa
Aleksander Byrski
Hybrid Neuro-Fuzzy Classifier Based On Nefclass Model
Computer Science
Neuro-fuzzy classifier; NEFCLASS; neural networks; fuzzy systems
title Hybrid Neuro-Fuzzy Classifier Based On Nefclass Model
title_full Hybrid Neuro-Fuzzy Classifier Based On Nefclass Model
title_fullStr Hybrid Neuro-Fuzzy Classifier Based On Nefclass Model
title_full_unstemmed Hybrid Neuro-Fuzzy Classifier Based On Nefclass Model
title_short Hybrid Neuro-Fuzzy Classifier Based On Nefclass Model
title_sort hybrid neuro fuzzy classifier based on nefclass model
topic Neuro-fuzzy classifier; NEFCLASS; neural networks; fuzzy systems
url http://journals.agh.edu.pl/csci/article/download/96/50
work_keys_str_mv AT bogdangliwa hybridneurofuzzyclassifierbasedonnefclassmodel
AT aleksanderbyrski hybridneurofuzzyclassifierbasedonnefclassmodel