First-Order Sparse TSK Nonstationary Fuzzy Neural Network Based on the Mean Shift Algorithm and the Group Lasso Regularization

First-Order Sparse TSK Nonstationary Fuzzy Neural Network Based on the Mean Shift Algorithm and the Group Lasso Regularization

Nonstationary fuzzy inference systems (NFIS) are able to tackle uncertainties and avoid the difficulty of type-reduction operation. Combining NFIS and neural network, a first-order sparse TSK nonstationary fuzzy neural network (SNFNN-1) is proposed in this paper to improve the interpretability/trans...

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Bibliographic Details
Main Authors: Bingjie Zhang, Jian Wang, Xiaoling Gong, Zhanglei Shi, Chao Zhang, Kai Zhang, El-Sayed M. El-Alfy, Sergey V. Ablameyko
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Mathematics
Subjects:
nonstationary neuro-fuzzy network
mean shift
group lasso
rule reduction
Online Access:https://www.mdpi.com/2227-7390/12/1/120

Internet

https://www.mdpi.com/2227-7390/12/1/120

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