Reinforced rule-based fuzzy models: Design and analysis. - Eun-Hu Kim; Sung-Kwun Oh; Witold Pedrycz (Knowl. Based Syst., 2017)

Reinforced hybrid interval fuzzy neural networks architecture: Design and analysis. - Eun-Hu Kim; Sung-Kwun Oh; Witold Pedrycz (Neurocomputing, 2018)

Design of double fuzzy clustering-driven context neural networks. - Eun-Hu Kim; Sung-Kwun Oh; Witold Pedrycz (Neural Networks, 2018)

Design of Reinforced Interval Type-2 Fuzzy C-Means-Based Fuzzy Classifier. - Eun-Hu Kim; Sung-Kwun Oh; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2018)

Design of meteorological pattern classification system based on FCM-based radial basis function neural networks using meteorological radar data. - Eun-Hu Kim; Jun-Hyun Ko; Sung-Kwun Oh; Kisung Seo (Soft Comput., 2019)

Reinforced Fuzzy Clustering-Based Ensemble Neural Networks. - Eun-Hu Kim; Sung-Kwun Oh; Witold Pedrycz; Zunwei Fu (IEEE Trans. Fuzzy Syst., 2020)

Hierarchically Reorganized Multi-Layer Fuzzy Neural Networks Architecture Driven With the Aid of Node Selection Strategies and Structural Network Optimization. - Zheng Wang 057; Sung-Kwun Oh; Eun-Hu Kim; Zunwei Fu; Witold Pedrycz (IEEE Access, 2022)

Design of stabilized fuzzy relation-based neural networks driven to ensemble neurons/layers and multi-optimization. - Zheng Wang 057; Sung-Kwun Oh; Witold Pedrycz; Eun-Hu Kim; Zunwei Fu (Neurocomputing, 2022)

Design of Reinforced Fuzzy Model Driven to Feature Selection Through Univariable-Based Correlation and Multivariable-Based Determination Coefficient Analysis. - Eun-Hu Kim; Sung-Kwun Oh; Witold Pedrycz; Zunwei Fu (IEEE Trans. Fuzzy Syst., 2022)

Noise-Robust Fuzzy Classifier Designed With the Aid of Type-2 Fuzzy Clustering and Enhanced Learning. - Ziwu Jiang; Zheng Wang 057; Eun-Hu Kim (IEEE Access, 2023)

Rule-based fuzzy neural networks realized with the aid of linear function Prototype-driven fuzzy clustering and layer Reconstruction-based network design strategy. - Sang-Beom Park; Sung-Kwun Oh; Eun-Hu Kim; Witold Pedrycz (Expert Syst. Appl., 2023)

Fuzzy clustering-based neural network based on linear fitting residual-driven weighted fuzzy clustering and convolutional regularization strategy. - Fan Bu; Congcong Zhang; Eun-Hu Kim; Dachun Yang; Zunwei Fu; Witold Pedrycz (Appl. Soft Comput., 2024)

DCNN: Dual Cross-current Neural Networks Realized Using An Interactive Deep Learning Discriminator for Fine-grained Objects. - Da Fu; Mingfei Rong; Eun-Hu Kim; Hao Huang; Witold Pedrycz (CoRR, 2024)

Design of Tobacco Leaves Classifier Through Fuzzy Clustering-Based Neural Networks With Multiple Histogram Analyses of Images. - Eun-Hu Kim; Zheng Wang 057; Hao Zong; Ziwu Jiang; Zunwei Fu; Witold Pedrycz (IEEE Trans. Ind. Informatics, 2024)

Reinforced Fuzzy-Rule-Based Neural Networks Realized Through Streamlined Feature Selection Strategy and Fuzzy Clustering With Distance Variation. - Zheng Wang 057; Eun-Hu Kim; Sung-Kwun Oh; Witold Pedrycz; Zunwei Fu; Jin Hee Yoon (IEEE Trans. Fuzzy Syst., 2024)

Attention-based fuzzy neural networks designed for early warning of financial crises of listed companies. - Mengyang Zhao; Yan Song; Hao Huang; Eun-Hu Kim (Inf. Sci., 2025)