An outlier–robust neuro–fuzzy system for classification and regression
Real life data often suffer from non-informative objects—outliers. These are objects that are not typical in a dataset and can significantly decline the efficacy of fuzzy models. In the paper we analyse neuro-fuzzy systems robust to outliers in classification and regression tasks. We use the fuzzy c...
I tiakina i:
| Kaituhi matua: | |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Sciendo
2021-06-01
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| Rangatū: | International Journal of Applied Mathematics and Computer Science |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.34768/amcs-2021-0021 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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