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...
Main Authors: | , |
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Format: | Article |
Language: | English |
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AGH University of Science and Technology Press
2011-01-01
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Series: | Computer Science |
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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. |
first_indexed | 2024-12-22T13:15:01Z |
format | Article |
id | doaj.art-0db8227026bb40d9b1b4286e7f237f61 |
institution | Directory Open Access Journal |
issn | 1508-2806 |
language | English |
last_indexed | 2024-12-22T13:15:01Z |
publishDate | 2011-01-01 |
publisher | AGH University of Science and Technology Press |
record_format | Article |
series | Computer Science |
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 |