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 |
| Published: |
AGH University of Science and Technology Press
2011-01-01
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| Series: | Computer Science |
| Subjects: | |
| Online Access: | http://journals.agh.edu.pl/csci/article/download/96/50 |
| Summary: | 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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| ISSN: | 1508-2806 |