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A Fully Interpretable First-order TSK Fuzzy System and Its Training with Negative Entropic and Rule-stability-based Regularization Journal article
Zhou, Erhao, Vong, Chi Man, Nojima, Yusuke, Wang, Shitong. A Fully Interpretable First-order TSK Fuzzy System and Its Training with Negative Entropic and Rule-stability-based Regularization[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 31(7), 2305 - 2319.
Authors:  Zhou, Erhao;  Vong, Chi Man;  Nojima, Yusuke;  Wang, Shitong
Favorite | TC[WOS]:10 TC[Scopus]:14  IF:10.7/9.7 | Submit date：2023/01/30
Entropic And Rule-stability-based Regularizer  First-order Takagi-sugeno-kang (Tsk) Fuzzy System  Fuzzy Rules  Gaussian Mixture Model (Gmm)  Generalization Performance  Interpretability  
MR Image Denoising by FGMM Clustering of Image Patches Conference paper
Shi, Zhaoyin, Chen, Long. MR Image Denoising by FGMM Clustering of Image Patches[C]. Peng Y., Hu S.-M., Gabbouj M., Zhou K., Elad M., Xu K.:Springer Science and Business Media Deutschland GmbH, 2021, 597-606.
Authors:  Shi, Zhaoyin;  Chen, Long
Favorite | TC[Scopus]:1 | Submit date：2022/05/13
Magnetic Resonance Images  Clustering  Image Denoising  Fuzzy Gaussian Mixture Model  Image Patches