Eun-Hu Kim

According to our database, Eun-Hu Kim authored at least 16 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

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

2024

Reinforced Fuzzy-Rule-Based Neural Networks Realized Through Streamlined Feature Selection Strategy and Fuzzy Clustering With Distance Variation.

Zheng Wang, Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Jin Hee Yoon

IEEE Trans. Fuzzy Syst., October, 2024

Design of Tobacco Leaves Classifier Through Fuzzy Clustering-Based Neural Networks With Multiple Histogram Analyses of Images.

Eun-Hu Kim, Zheng Wang, Hao Zong, Ziwu Jiang, Zunwei Fu, Witold Pedrycz

IEEE Trans. Ind. Informatics, March, 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

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

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., June, 2023

Noise-Robust Fuzzy Classifier Designed With the Aid of Type-2 Fuzzy Clustering and Enhanced Learning.

Ziwu Jiang, Zheng Wang, Eun-Hu Kim

IEEE Access, 2023

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

Design of stabilized fuzzy relation-based neural networks driven to ensemble neurons/layers and multi-optimization.

Zheng Wang, Sung-Kwun Oh, Witold Pedrycz, Eun-Hu Kim, Zunwei Fu

Neurocomputing, 2022

Hierarchically Reorganized Multi-Layer Fuzzy Neural Networks Architecture Driven With the Aid of Node Selection Strategies and Structural Network Optimization.

Zheng Wang, Sung-Kwun Oh, Eun-Hu Kim, Zunwei Fu, Witold Pedrycz

IEEE Access, 2022

2020

Reinforced Fuzzy Clustering-Based Ensemble Neural Networks.

Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu

IEEE Trans. Fuzzy Syst., 2020

2019

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

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 double fuzzy clustering-driven context neural networks.

Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz

Neural Networks, 2018

Reinforced hybrid interval fuzzy neural networks architecture: Design and analysis.

Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz

Neurocomputing, 2018

2017

Reinforced rule-based fuzzy models: Design and analysis.

Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz

Knowl. Based Syst., 2017