Eun-Hu Kim

Orcid: 0000-0002-3636-1524

According to our database1, Eun-Hu Kim authored at least 23 papers between 2017 and 2026.

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Bibliography

2026
BPFNN: Bayesian Probabilistic Fuzzy Neural Networks for Uncertainty-Aware Clustering and Probabilistic Fuzzy Reasoning.
IEEE Trans. Cybern., February, 2026

A study on hand gesture recognition algorithm realized with the aid of efficient feature extraction method and convolution neural networks: design and its application to VR environment.
Soft Comput., February, 2026

Dynamical polynomial-based self-organizing neural networks designed through autoencoder-driven feature selection and adaptive neuron pruning.
Inf. Sci., 2026

2025
Corrections to "Robust Classification via Interval Type-2 Fuzzy C-Means and Gradient Boosting".
IEEE Trans. Fuzzy Syst., December, 2025

Data Transformation-Driven Fuzzy Clustering Neural Network With Layerwise and End-to-End Training.
IEEE Trans. Fuzzy Syst., October, 2025

Robust Classification via Interval Type-2 Fuzzy C-Means and Gradient Boosting.
IEEE Trans. Fuzzy Syst., September, 2025

A probabilistic mixture-of-experts regression framework with structure-aware feature representation adaptation in GMM-guided posterior-weighted RVFL networks.
Knowl. Based Syst., 2025

Attention-based fuzzy neural networks designed for early warning of financial crises of listed companies.
Inf. Sci., 2025

2024
Reinforced Fuzzy-Rule-Based Neural Networks Realized Through Streamlined Feature Selection Strategy and Fuzzy Clustering With Distance Variation.
IEEE Trans. Fuzzy Syst., October, 2024

Design of Tobacco Leaves Classifier Through Fuzzy Clustering-Based Neural Networks With Multiple Histogram Analyses of Images.
IEEE Trans. Ind. Informatics, March, 2024

DCNN: Dual Cross-current Neural Networks Realized Using An Interactive Deep Learning Discriminator for Fine-grained Objects.
CoRR, 2024

Fuzzy clustering-based neural network based on linear fitting residual-driven weighted fuzzy clustering and convolutional regularization strategy.
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.
Expert Syst. Appl., June, 2023

Noise-Robust Fuzzy Classifier Designed With the Aid of Type-2 Fuzzy Clustering and Enhanced Learning.
IEEE Access, 2023

2022
Design of Reinforced Fuzzy Model Driven to Feature Selection Through Univariable-Based Correlation and Multivariable-Based Determination Coefficient Analysis.
IEEE Trans. Fuzzy Syst., 2022

Design of stabilized fuzzy relation-based neural networks driven to ensemble neurons/layers and multi-optimization.
Neurocomputing, 2022

Hierarchically Reorganized Multi-Layer Fuzzy Neural Networks Architecture Driven With the Aid of Node Selection Strategies and Structural Network Optimization.
IEEE Access, 2022

2020
Reinforced Fuzzy Clustering-Based Ensemble Neural Networks.
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.
Soft Comput., 2019

2018
Design of Reinforced Interval Type-2 Fuzzy C-Means-Based Fuzzy Classifier.
IEEE Trans. Fuzzy Syst., 2018

Design of double fuzzy clustering-driven context neural networks.
Neural Networks, 2018

Reinforced hybrid interval fuzzy neural networks architecture: Design and analysis.
Neurocomputing, 2018

2017
Reinforced rule-based fuzzy models: Design and analysis.
Knowl. Based Syst., 2017


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