Ensemble Model of Takagi-Sugeno-Kang Fuzzy Classifiers for Imbalanced Data
Ensemble learning is one of the most popular methods for nonlinear systems. However, when the traditional ensemble models of TSK fuzzy classifiers are directly applied to imbalanced data, their learning performances will be deteriorated with poor generalization ability. In order to tackle with this...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2022-06-01
|
| Series: | Jisuanji kexue yu tansuo |
| Subjects: | |
| Online Access: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2012100.pdf |