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2020 – today
- 2024
[j135]Mingjie Gao
, Wei Huang, Shaohua Wan, Sung-Kwun Oh, Witold Pedrycz:
Cascade AdaBoost Neural Network Classifier: Analysis and Design. J. Circuits Syst. Comput. 33(7): 2450124:1-2450124:22 (2024)- [j134]Kun Zhou, Sung-Kwun Oh, Witold Pedrycz, Jianlong Qiu, Kisung Seo:
A self-organizing deep network architecture designed based on LSTM network via elitism-driven roulette-wheel selection for time-series forecasting. Knowl. Based Syst. 289: 111481 (2024) - [j133]Congcong Zhang, Sung-Kwun Oh, Zunwei Fu, Witold Pedrycz:
Incremental Fuzzy Clustering-Based Neural Networks Driven With the Aid of Dynamic Input Space Partition and Quasi-Fuzzy Local Models. IEEE Trans. Cybern. 54(5): 2978-2991 (2024) - [j132]Shuangrong Liu, Sung-Kwun Oh, Witold Pedrycz, Bo Yang, Lin Wang, Kisung Seo:
Fuzzy Adaptive Knowledge-Based Inference Neural Networks: Design and Analysis. IEEE Trans. Cybern. 54(9): 4875-4888 (2024) - [j131]Shuangrong Liu, Sung-Kwun Oh, Witold Pedrycz, Bo Yang, Lin Wang, Jin Hee Yoon:
Reinforced Interval Type-2 Fuzzy Clustering-Based Neural Network Realized Through Attention-Based Clustering Mechanism and Successive Learning. IEEE Trans. Fuzzy Syst. 32(3): 1208-1222 (2024) - [j130]Kun Zhou, Sung-Kwun Oh, Jianlong Qiu, Witold Pedrycz, Kisung Seo, Jin Hee Yoon:
Design of Hierarchical Neural Networks Using Deep LSTM and Self-Organizing Dynamical Fuzzy-Neural Network Architecture. IEEE Trans. Fuzzy Syst. 32(5): 2915-2929 (2024) - [j129]Shuangrong Liu, Sung-Kwun Oh, Witold Pedrycz, Bo Yang, Lin Wang, Zhen Peng:
SCINN: Semantic Concept-Based Inference Neural Networks With Explainable and Deep Fuzzy Structure. IEEE Trans. Fuzzy Syst. 32(7): 4133-4147 (2024) - [j128]Zhen Wang, Sung-Kwun Oh, Zunwei Fu, Witold Pedrycz, Seok-Beom Roh, Jin Hee Yoon:
Self-Organizing Hybrid Fuzzy Polynomial Neural Network Classifier Driven Through Dynamically Adaptive Structure and Compound Regularization Technique. IEEE Trans. Fuzzy Syst. 32(9): 5385-5399 (2024) - [j127]Hao Huang, Sung-Kwun Oh, Zunwei Fu, Chuan-Kun Wu, Witold Pedrycz, Jin-Yul Kim:
FSCNN: Fuzzy Channel Filter-Based Separable Convolution Neural Networks for Medical Imaging Recognition. IEEE Trans. Fuzzy Syst. 32(10): 5449-5461 (2024) - [j126]Zheng Wang, Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Jin Hee Yoon:
Reinforced Fuzzy-Rule-Based Neural Networks Realized Through Streamlined Feature Selection Strategy and Fuzzy Clustering With Distance Variation. IEEE Trans. Fuzzy Syst. 32(10): 5674-5686 (2024) - [j125]Wei Huang, Mingxi Sun, Liehuang Zhu, Sung-Kwun Oh, Witold Pedrycz:
Deep Fuzzy Min-Max Neural Network: Analysis and Design. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8229-8240 (2024) - [j124]Wei Huang, Yueyue Xiao, Sung-Kwun Oh, Witold Pedrycz, Liehuang Zhu:
Random Polynomial Neural Networks: Analysis and Design. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15589-15599 (2024) - [c85]Mingjie Gao, Wei Huang, Zhilei Xu, Sung-Kwun Oh:
Hybrid Ensemble Polynomial Neural Network Classifier: Analysis and Design. CSCWD 2024: 839-844 - 2023
- [j123]Kun Zhou, Sung-Kwun Oh, Witold Pedrycz, Jianlong Qiu:
Data preprocessing strategy in constructing convolutional neural network classifier based on constrained particle swarm optimization with fuzzy penalty function. Eng. Appl. Artif. Intell. 117(Part): 105580 (2023) - [j122]Sang-Beom Park, Sung-Kwun Oh, Eun-Hu Kim, Witold Pedrycz:
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. 219: 119655 (2023) - [j121]Zhen Wang, Sung-Kwun Oh, Zheng Wang, Zunwei Fu, Witold Pedrycz, Jin Hee Yoon:
Design of progressive fuzzy polynomial neural networks through gated recurrent unit structure and correlation/probabilistic selection strategies. Fuzzy Sets Syst. 470: 108656 (2023) - [j120]Sang-Beom Park, Sung-Kwun Oh, Witold Pedrycz:
Feature data-driven-reinforced fuzzy radial basis function neural network classifier with the aid of preprocessing techniques and particle swarm optimization. Soft Comput. 27(21): 15443-15462 (2023) - [j119]Kun Zhou, Sung-Kwun Oh, Jianlong Qiu, Witold Pedrycz, Kisung Seo:
Reinforced Two-Stream Fuzzy Neural Networks Architecture Realized With the Aid of One-Dimensional/Two-Dimensional Data Features. IEEE Trans. Fuzzy Syst. 31(3): 707-721 (2023) - 2022
- [j118]Zheng Wang, Sung-Kwun Oh, Eun-Hu Kim, Zunwei Fu, Witold Pedrycz:
Hierarchically Reorganized Multi-Layer Fuzzy Neural Networks Architecture Driven With the Aid of Node Selection Strategies and Structural Network Optimization. IEEE Access 10: 7772-7792 (2022) - [j117]Kun Zhou, Sung-Kwun Oh, Witold Pedrycz, Jianlong Qiu, Zunwei Fu, Byung-Gun Ryu:
Design of data feature-driven 1D/2D convolutional neural networks classifier for recycling black plastic wastes through laser spectroscopy. Adv. Eng. Informatics 53: 101695 (2022) - [j116]Yueyue Xiao, Wei Huang, Sung-Kwun Oh, Liehuang Zhu:
A polynomial kernel neural network classifier based on random sampling and information gain. Appl. Intell. 52(6): 6398-6412 (2022) - [j115]Cheng Yang, Sung-Kwun Oh, Bo Yang, Witold Pedrycz, Lin Wang:
Hybrid fuzzy multiple SVM classifier through feature fusion based on convolution neural networks and its practical applications. Expert Syst. Appl. 202: 117392 (2022) - [j114]Cheng Yang, Zheng Wang, Sung-Kwun Oh, Witold Pedrycz, Bo Yang:
Ensemble fuzzy radial basis function neural networks architecture driven with the aid of multi-optimization through clustering techniques and polynomial-based learning. Fuzzy Sets Syst. 438: 62-83 (2022) - [j113]Hao Huang, Sung-Kwun Oh, Chuan-Kun Wu, Witold Pedrycz:
Double iterative learning-based polynomial based-RBFNNs driven by the aid of support vector-based kernel fuzzy clustering and least absolute shrinkage deviations. Fuzzy Sets Syst. 443(Part): 30-49 (2022) - [j112]Congcong Zhang, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Shanzhen Lu:
Reinforced fuzzy clustering-based rule model constructed with the aid of exponentially weighted ℓ2 regularization strategy and augmented random vector functional link network. Fuzzy Sets Syst. 443(Part): 90-114 (2022) - [j111]Hao Huang, Sung-Kwun Oh, Chuan-Kun Wu, Witold Pedrycz:
Fuzzy clustering-based neural networks modelling reinforced with the aid of support vectors-based clustering and regularization technique. Neurocomputing 482: 139-153 (2022) - [j110]Zheng Wang, Sung-Kwun Oh, Witold Pedrycz, Eun-Hu Kim, Zunwei Fu:
Design of stabilized fuzzy relation-based neural networks driven to ensemble neurons/layers and multi-optimization. Neurocomputing 486: 27-46 (2022) - [j109]Liangliang Zhang, Lin Wang, Bo Yang, Sijie Niu, Yamin Han, Sung-Kwun Oh:
Rapid construction of 4D high-quality microstructural image for cement hydration using partial information registration. Pattern Recognit. 124: 108471 (2022) - [j108]Shengmin Zhao, Sung-Kwun Oh, Jin-Yul Kim, Zunwei Fu, Witold Pedrycz:
Motion-blurred image restoration framework based on parameter estimation and fuzzy radial basis function neural networks. Pattern Recognit. 132: 108983 (2022) - [j107]Liangliang Zhang, Sung-Kwun Oh, Witold Pedrycz, Bo Yang, Lin Wang:
A Promotive Particle Swarm Optimizer With Double Hierarchical Structures. IEEE Trans. Cybern. 52(12): 13308-13322 (2022) - [j106]Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu:
Design of Reinforced Fuzzy Model Driven to Feature Selection Through Univariable-Based Correlation and Multivariable-Based Determination Coefficient Analysis. IEEE Trans. Fuzzy Syst. 30(10): 4224-4238 (2022) - [j105]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Zheng Wang, Zunwei Fu, Kisung Seo:
Design of Iterative Fuzzy Radial Basis Function Neural Networks Based on Iterative Weighted Fuzzy C-Means Clustering and Weighted LSE Estimation. IEEE Trans. Fuzzy Syst. 30(10): 4273-4285 (2022) - [j104]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu:
Dynamically Generated Hierarchical Neural Networks Designed With the Aid of Multiple Support Vector Regressors and PNN Architecture With Probabilistic Selection. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1385-1399 (2022) - 2021
- [j103]Liangliang Zhang, Sung-Kwun Oh, Witold Pedrycz, Bo Yang, Yamin Han:
Building fuzzy relationships between compressive strength and 3D microstructural image features for cement hydration using Gaussian mixture model-based polynomial radial basis function neural networks. Appl. Soft Comput. 112: 107766 (2021) - [j102]Congcong Zhang, Sung-Kwun Oh, Zunwei Fu:
Hierarchical polynomial-based fuzzy neural networks driven with the aid of hybrid network architecture and ranking-based neuron selection strategies. Appl. Soft Comput. 113(Part): 107865 (2021) - [j101]Cheng Yang, Sung-Kwun Oh, Bo Yang, Witold Pedrycz, Zunwei Fu:
Fuzzy quasi-linear SVM classifier: Design and analysis. Fuzzy Sets Syst. 413: 42-63 (2021) - [j100]Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
Fuzzy reinforced polynomial neural networks constructed with the aid of PNN architecture and fuzzy hybrid predictor based on nonlinear function. Neurocomputing 458: 454-467 (2021) - [j99]Congcong Zhang, Sung-Kwun Oh, Zunwei Fu:
Design of stabilized polynomial-based ensemble fuzzy neural networks based on heterogeneous neurons and synergy of multiple techniques. Inf. Sci. 542: 425-452 (2021) - [j98]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu:
Design of Fuzzy Ensemble Architecture Realized With the Aid of FCM-Based Fuzzy Partition and NN With Weighted LSE Estimation. IEEE Trans. Fuzzy Syst. 29(3): 569-583 (2021) - [j97]Cheng Yang, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Bo Yang:
Design of Reinforced Fuzzy Radial Basis Function Neural Network Classifier Driven With the Aid of Iterative Learning Techniques and Support Vector-Based Clustering. IEEE Trans. Fuzzy Syst. 29(9): 2506-2520 (2021) - [j96]Congcong Zhang, Sung-Kwun Oh, Zunwei Fu, Witold Pedrycz:
Design of Reinforced Hybrid Fuzzy Rule-Based Neural Networks Driven to Inhomogeneous Neurons and Tournament Selection. IEEE Trans. Fuzzy Syst. 29(11): 3293-3307 (2021) - 2020
- [j95]Zheng Wang, Cheng Yang, Sung-Kwun Oh, Zunwei Fu, Witold Pedrycz:
Robust Multi-Linear Fuzzy SVR Designed With the Aid of Fuzzy C-Means Clustering Based on Insensitive Data Information. IEEE Access 8: 184997-185011 (2020) - [j94]Congcong Zhang, Sung-Kwun Oh, Zunwei Fu, Witold Pedrycz:
Self-organized hybrid fuzzy neural networks driven with the aid of probability-based node selection and enhanced input strategy. Neurocomputing 417: 471-489 (2020) - [j93]Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu:
Reinforced Fuzzy Clustering-Based Ensemble Neural Networks. IEEE Trans. Fuzzy Syst. 28(3): 569-582 (2020) - [i1]Congcong Zhang, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Shanzhen Lu:
Exponentially Weighted l_2 Regularization Strategy in Constructing Reinforced Second-order Fuzzy Rule-based Model. CoRR abs/2007.01208 (2020)
2010 – 2019
- 2019
- [j92]Jong-Soo Bae, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu:
Design of fuzzy radial basis function neural network classifier based on information data preprocessing for recycling black plastic wastes: comparative studies of ATR FT-IR and Raman spectroscopy. Appl. Intell. 49(3): 929-949 (2019) - [j91]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Kisung Seo, Zunwei Fu:
Design methodology for Radial Basis Function Neural Networks classifier based on locally linear reconstruction and Conditional Fuzzy C-Means clustering. Int. J. Approx. Reason. 106: 228-243 (2019) - [j90]Eun-Hu Kim, Jun-Hyun Ko, Sung-Kwun Oh, Kisung Seo:
Design of meteorological pattern classification system based on FCM-based radial basis function neural networks using meteorological radar data. Soft Comput. 23(6): 1857-1872 (2019) - [j89]Seok-Beom Roh, Sung-Kwun Oh, Jin Hee Yoon, Kisung Seo:
Design of face recognition system based on fuzzy transform and radial basis function neural networks. Soft Comput. 23(13): 4969-4985 (2019) - 2018
- [j88]Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz:
Reinforced hybrid interval fuzzy neural networks architecture: Design and analysis. Neurocomputing 303: 20-36 (2018) - [j87]Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz:
Design of double fuzzy clustering-driven context neural networks. Neural Networks 104: 1-14 (2018) - [j86]Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz:
Design of Reinforced Interval Type-2 Fuzzy C-Means-Based Fuzzy Classifier. IEEE Trans. Fuzzy Syst. 26(5): 3054-3068 (2018) - [j85]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz:
Identification of Black Plastics Based on Fuzzy RBF Neural Networks: Focused on Data Preprocessing Techniques Through Fourier Transform Infrared Radiation. IEEE Trans. Ind. Informatics 14(5): 1802-1813 (2018) - [j84]Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
Hybrid Fuzzy Wavelet Neural Networks Architecture Based on Polynomial Neural Networks and Fuzzy Set/Relation Inference-Based Wavelet Neurons. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3452-3462 (2018) - 2017
- [j83]Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
Hybrid fuzzy polynomial neural networks with the aid of weighted fuzzy clustering method and fuzzy polynomial neurons. Appl. Intell. 46(2): 487-508 (2017) - [j82]Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz:
Reinforced rule-based fuzzy models: Design and analysis. Knowl. Based Syst. 119: 44-58 (2017) - [j81]Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
Fuzzy Wavelet Polynomial Neural Networks: Analysis and Design. IEEE Trans. Fuzzy Syst. 25(5): 1329-1341 (2017) - 2016
- [j80]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Kisung Seo:
Development of autofocusing algorithm based on fuzzy transforms. Fuzzy Sets Syst. 288: 129-144 (2016) - [j79]Sung-Kwun Oh, Sung-Hoon Yoo, Witold Pedrycz:
A comparative study of feature extraction methods and their application to P-RBF NNs in face recognition problem. Fuzzy Sets Syst. 305: 131-148 (2016) - [j78]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz:
Design of radial basis function neural network classifier realized with the aid of data preprocessing techniques: design and analysis. Int. J. Gen. Syst. 45(4): 434-454 (2016) - [c84]Jong-Soo Bae, Sung-Kwun Oh, Eun Ok Kim:
Design of Classification of Black Plastics Based on Fuzzy Radial Basis Fnction Neural Networks Using Raman Spectroscopy. SCIS&ISIS 2016: 749-753 - [c83]Sun-Hwan Kim, Sung-Kwun Oh, Jin-Yul Kim:
Design of Face Recognition System Realized with the Aid of PCA-Based RBFNN. SCIS&ISIS 2016: 754-758 - [c82]Wook-Dong Kim, Sung-Kwun Oh, Kisung Seo:
Design of Interval Type-2 FCM-Based Neural Networks. SCIS&ISIS 2016: 759-763 - [c81]Seok-Beom Roh, Sung-Kwun Oh, Eun Kyu Park, Woo Zin Choi:
Design of Radial Basis Function Neural Networks with Principal Component Analysis and Linear Discriminant Analysis for Black Plastic Identification. SCIS&ISIS 2016: 764-768 - [c80]Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
Polynomial Neural Network Classifiers Based on Data Preprocessing and Space Search Optimization. SCIS&ISIS 2016: 769-773 - 2015
- [j77]Sung-Hoon Yoo, Sung-Kwun Oh, Witold Pedrycz:
Optimized face recognition algorithm using radial basis function neural networks and its practical applications. Neural Networks 69: 111-125 (2015) - 2014
- [j76]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Kisung Seo:
Fuzzy Radial Basis Function Neural Networks with information granulation and its parallel genetic optimization. Fuzzy Sets Syst. 237: 96-117 (2014) - [j75]Byoung-Jun Park, Wook-Dong Kim, Sung-Kwun Oh, Witold Pedrycz:
Fuzzy set-oriented neural networks based on fuzzy polynomial inference and dynamic genetic optimization. Knowl. Inf. Syst. 39(1): 207-240 (2014) - [j74]Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
Design of hybrid radial basis function neural networks (HRBFNNs) realized with the aid of hybridization of fuzzy clustering method (FCM) and polynomial neural networks (PNNs). Neural Networks 60: 166-181 (2014) - 2013
- [j73]Wei Huang, Sung-Kwun Oh, Zhaolu Guo, Witold Pedrycz:
A space search optimization algorithm with accelerated convergence strategies. Appl. Soft Comput. 13(12): 4659-4675 (2013) - [j72]Sung-Kwun Oh, Sung-Hoon Yoo, Witold Pedrycz:
Design of face recognition algorithm using PCA -LDA combined for hybrid data pre-processing and polynomial-based RBF neural networks : Design and its application. Expert Syst. Appl. 40(5): 1451-1466 (2013) - [j71]Sung-Kwun Oh, Wook-Dong Kim, Byoung-Jun Park, Witold Pedrycz:
A design of granular-oriented self-organizing hybrid fuzzy polynomial neural networks. Neurocomputing 119: 292-307 (2013) - [j70]Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz:
The design of polynomial function-based neural network predictors for detection of software defects. Inf. Sci. 229: 40-57 (2013) - [j69]Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
A fuzzy time-dependent project scheduling problem. Inf. Sci. 246: 100-114 (2013) - [j68]Sung-Kwun Oh, Ho-Sung Park, Wook-Dong Kim, Witold Pedrycz:
A new approach to radial basis function-based polynomial neural networks: analysis and design. Knowl. Inf. Syst. 36(1): 121-151 (2013) - [c79]W.-D. Kim, Sung-Kwun Oh, Kisung Seo, Witold Pedrycz:
Growing rule-based fuzzy model developed with the aid of fuzzy clustering. IFSA/NAFIPS 2013: 573-578 - [c78]Sung-Hoon Yoo, Sung-Kwun Oh, Witold Pedrycz:
Design of face recognition algorithm realized with feature extraction from 2D-LDA and optimized polynomial-based RBF NNs. IFSA/NAFIPS 2013: 655-660 - [c77]W.-D. Kim, Sung-Kwun Oh, Kisung Seo, Witold Pedrycz:
A design of FCM-based interval type-2 fuzzy neural network classifier with the aid of PSO. IFSA/NAFIPS 2013: 1209-1214 - 2012
- [j67]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz:
Design of optimized cascade fuzzy controller based on differential evolution: Simulation studies and practical insights. Eng. Appl. Artif. Intell. 25(3): 520-532 (2012) - [j66]Ho-Sung Park, Witold Pedrycz, Y.-D. Chung, Sung-Kwun Oh:
Modeling of the charging characteristic of linear-type superconducting power supply using granular-based radial basis function neural networks. Expert Syst. Appl. 39(1): 1021-1039 (2012) - [j65]Byoung-Jun Park, Jeoung-Nae Choi, Wook-Dong Kim, Sung-Kwun Oh:
Analytic design of information granulation-based fuzzy radial basis function neural networks with the aid of multiobjective particle swarm optimization. Int. J. Intell. Comput. Cybern. 5(1): 4-35 (2012) - [j64]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Su-Chong Joo:
Design of K-means clustering-based polynomial radial basis function neural networks (pRBF NNs) realized with the aid of particle swarm optimization and differential evolution. Neurocomputing 78(1): 121-132 (2012) - [c76]Wook-Dong Kim, Sung-Kwun Oh, Hyun-Ki Kim:
Context FCM-Based Radial Basis Function Neural Networks with the Aid of Fuzzy Clustering. ISNN (1) 2012: 21-28 - [c75]Wook-Dong Kim, Sung-Kwun Oh, Jeong-Tae Kim:
Design of Optimized Radial Basis Function Neural Networks Classifier with the Aid of Fuzzy Clustering and Data Preprocessing Method. ISNN (2) 2012: 38-45 - [c74]Wei Huang, Sung-Kwun Oh:
Fuzzy Relation-Based Polynomial Neural Networks Based on Hybrid Optimization. ISNN (1) 2012: 90-97 - [c73]Chang-Min Ma, Sung-Hoon Yoo, Sung-Kwun Oh:
A Study on Optimized Face Recognition Algorithm Realized with the Aid of Multi-dimensional Data Preprocessing Technologies and RBFNNs. ISNN (2) 2012: 205-212 - [c72]Sung-Hoon Yoo, Sung-Kwun Oh, Kisung Seo:
Design of Face Recognition Algorithm Using Hybrid Data Preprocessing and Polynomial-Based RBF Neural Networks. ISNN (2) 2012: 213-220 - [c71]Sung-Kwun Oh, Wook-Dong Kim, Byoung-Jun Park:
Design of context-FCM based RBF neural networks with the aid of data information granulation. RACS 2012: 20-25 - 2011
- [j63]Ho-Sung Park, Y.-D. Chung, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim:
Design of information granule-oriented RBF neural networks and its application to power supply for high-field magnet. Eng. Appl. Artif. Intell. 24(3): 543-554 (2011) - [j62]Sung-Kwun Oh, Han-Jong Jang, Witold Pedrycz:
A comparative experimental study of type-1/type-2 fuzzy cascade controller based on genetic algorithms and particle swarm optimization. Expert Syst. Appl. 38(9): 11217-11229 (2011) - [j61]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Byoung-Jun Park:
Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization. Fuzzy Sets Syst. 163(1): 54-77 (2011) - [j60]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz:
Design of fuzzy radial basis function-based polynomial neural networks. Fuzzy Sets Syst. 185(1): 15-37 (2011) - [j59]Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh:
Genetically optimized Hybrid Fuzzy Set-based Polynomial Neural Networks. J. Frankl. Inst. 348(2): 415-425 (2011) - [j58]Sung-Kwun Oh, Han-Jong Jang, Witold Pedrycz:
Optimized fuzzy PD cascade controller: A comparative analysis and design. Simul. Model. Pract. Theory 19(1): 181-195 (2011) - [c70]Wei Huang, Sung-Kwun Oh, Jeong-Tae Kim:
Design of Information Granulation-Based Fuzzy Models with the Aid of Multi-objective Optimization and Successive Tuning Method. ISNN (3) 2011: 256-263 - [c69]Wei Huang, Lixin Ding, Sung-Kwun Oh:
Design of Fuzzy Radial Basis Function Neural Networks with the Aid of Multi-objective Optimization Based on Simultaneous Tuning. ISNN (3) 2011: 264-273 - [c68]Wook-Dong Kim, Sung-Kwun Oh, Hyun-Ki Kim:
Fuzzy Clustering-Based Polynomial Radial Basis Function Neural Networks (p-RBF NNs) Classifier Designed with Particle Swarm Optimization. ISNN (1) 2011: 464-473 - [c67]Sung-Kwun Oh, Wook-Dong Kim, Byoung-Jun Park:
A design of dynamically simultaneous search GA-based fuzzy neural networks: comparative analysis of FS and FR-based rules. RACS 2011: 319-324 - [c66]Wei Huang, Sung-Kwun Oh, Keon-Jun Park, Yong-Kab Kim:
A comparative study of information granulation-based fuzzy inference systems developed by means of space optimization algorithm (SOA) and genetic algorithms. RACS 2011: 330-335 - 2010
- [j57]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
Polynomial-based radial basis function neural networks (P-RBF NNs) and their application to pattern classification. Appl. Intell. 32(1): 27-46 (2010) - [j56]Jeoung-Nae Choi, Sung-Kwun Oh, Hyun-Ki Kim:
Hybrid optimization of information granulation-based fuzzy radial basis function neural networks. Int. J. Intell. Comput. Cybern. 3(4): 593-610 (2010) - [j55]Seok-Beom Roh, Su-Chong Joo, Witold Pedrycz, Sung-Kwun Oh:
The development of fuzzy radial basis function neural networks based on the concept of information ambiguity. Neurocomputing 73(13-15): 2464-2477 (2010) - [j54]Wei Huang, Lixin Ding, Sung-Kwun Oh, Chang-Won Jeong, Su-Chong Joo:
Identification of Fuzzy Inference System Based on Information Granulation. KSII Trans. Internet Inf. Syst. 4(4): 575-594 (2010) - [j53]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz:
A fuzzy ensemble of parallel polynomial neural networks with information granules formed by fuzzy clustering. Knowl. Based Syst. 23(3): 202-219 (2010) - [c65]Ho-Sung Park, Sung-Kwun Oh, Hyun-Ki Kim:
Genetic-Based Granular Radial Basis Function Neural Network. ISNN (1) 2010: 177-184 - [c64]Wei Huang, Lixin Ding, Sung-Kwun Oh:
A Experimental Study on Space Search Algorithm in ANFIS-Based Fuzzy Models. ISNN (1) 2010: 199-206 - [c63]Wook-Dong Kim, Sung-Kwun Oh, Wei Huang:
Optimized FCM-Based Radial Basis Function Neural Networks: A Comparative Analysis of LSE and WLSE Method. ISNN (1) 2010: 207-214 - [c62]Jeoung-Nae Choi, Sung-Kwun Oh, Hyun-Ki Kim:
Design of Information Granulation-Based Fuzzy Radial Basis Function Neural Networks Using NSGA-II. ISNN (1) 2010: 215-222 - [c61]Young-Hoon Kim, Hyun-Ki Kim, Sung-Kwun Oh:
Structural Design of Optimized Polynomial Radial Basis Function Neural Networks. ISNN (1) 2010: 246-253
2000 – 2009
- 2009
- [j52]Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh:
Hybrid fuzzy set-based polynomial neural networks and their development with the aid of genetic optimization and information granulation. Appl. Soft Comput. 9(3): 1068-1089 (2009) - [j51]Sung-Kwun Oh, Han-Jong Jang, Witold Pedrycz:
The design of a fuzzy cascade controller for ball and beam system: A study in optimization with the use of parallel genetic algorithms. Eng. Appl. Artif. Intell. 22(2): 261-271 (2009) - [j50]Sung-Kwun Oh, Seung-Hyun Jung, Witold Pedrycz:
Design of optimized fuzzy cascade controllers by means of Hierarchical Fair Competition-based Genetic Algorithms. Expert Syst. Appl. 36(9): 11641-11651 (2009) - [j49]Sung-Kwun Oh, Ho-Sung Park, Chang-Won Jeong, Su-Chong Joo:
GA-based Feed-forward Self-organizing Neural Network Architecture and Its Applications for Multi-variable Nonlinear Process Systems. KSII Trans. Internet Inf. Syst. 3(3): 309-330 (2009) - [j48]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
A Design of Genetically Oriented Fuzzy Relation Neural Networks (FrNNs) Based on the Fuzzy Polynomial Inference Scheme. IEEE Trans. Fuzzy Syst. 17(6): 1310-1323 (2009) - [j47]Ho-Sung Park, Witold Pedrycz, Sung-Kwun Oh:
Granular Neural Networks and Their Development Through Context-Based Clustering and Adjustable Dimensionality of Receptive Fields. IEEE Trans. Neural Networks 20(10): 1604-1616 (2009) - [c60]Keon-Jun Park, Sung-Kwun Oh, Witold Pedrycz:
Design of interval type-2 fuzzy neural networks and their optimization using real-coded genetic algorithms. FUZZ-IEEE 2009: 2013-2018 - [c59]Jeoung-Nae Choi, Young-Il Lee, Sung-Kwun Oh:
Fuzzy Radial Basis Function Neural Networks with Information Granulation and Its Genetic Optimization. ISNN (2) 2009: 127-134 - [c58]Ho-Sung Park, Sung-Kwun Oh, Hyun-Ki Kim:
Development of Design Strategy for RBF Neural Network with the Aid of Context-Based FCM. ISNN (1) 2009: 156-163 - 2008
- [j46]Jeoung-Nae Choi, Sung-Kwun Oh, Witold Pedrycz:
Identification of fuzzy models using a successive tuning method with a variant identification ratio. Fuzzy Sets Syst. 159(21): 2873-2889 (2008) - [j45]Jeoung-Nae Choi, Sung-Kwun Oh, Witold Pedrycz:
Structural and parametric design of fuzzy inference systems using hierarchical fair competition-based parallel genetic algorithms and information granulation. Int. J. Approx. Reason. 49(3): 631-648 (2008) - [j44]Witold Pedrycz, Ho-Sung Park, Sung-Kwun Oh:
A granular-oriented development of functional radial basis function neural networks. Neurocomputing 72(1-3): 420-435 (2008) - [j43]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
Simplified Fuzzy Inference Rule-Based Genetically Optimized Hybrid Fuzzy Neural Networks. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(2): 245-274 (2008) - [j42]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
An approach to fuzzy granule-based hierarchical polynomial networks for empirical data modeling in software engineering. Inf. Softw. Technol. 50(9-10): 912-923 (2008) - [j41]Witold Pedrycz, Byoung-Jun Park, Sung-Kwun Oh:
The design of granular classifiers: A study in the synergy of interval calculus and fuzzy sets in pattern recognition. Pattern Recognit. 41(12): 3720-3735 (2008) - [p2]Sung-Kwun Oh, Witold Pedrycz:
Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of Rule-based Multi-layer Perceptron Architectures. Engineering Evolutionary Intelligent Systems 2008: 23-57 - [p1]Sung-Kwun Oh, Witold Pedrycz:
Genetically Optimized Self-organizing Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons: Analysis and Design. Engineering Evolutionary Intelligent Systems 2008: 59-108 - 2007
- [j40]Ho-Sung Park, Witold Pedrycz, Sung-Kwun Oh:
Evolutionary design of hybrid self-organizing fuzzy polynomial neural networks with the aid of information granulation. Expert Syst. Appl. 33(4): 830-846 (2007) - [j39]Byoung-Jun Park, Sung-Kwun Oh, Young-Il Lee:
Hybrid Fuzzy Neural Networks by Means of Information Granulation and Genetic Optimization and Its Application to Software Process. Int. J. Fuzzy Log. Intell. Syst. 7(2): 132-137 (2007) - [j38]Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz, Tae-Chon Ahn:
IG-based genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons. Neurocomputing 70(16-18): 2783-2798 (2007) - [j37]Sung-Kwun Oh, Witold Pedrycz, Keon-Jun Park:
Identification of fuzzy systems by means of genetic optimization and data granulation. J. Intell. Fuzzy Syst. 18(1): 31-41 (2007) - [j36]Keon-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
A genetic approach to modeling fuzzy systems based on information granulation and successive generation-based evolution method. Simul. Model. Pract. Theory 15(9): 1128-1145 (2007) - [j35]Sung-Kwun Oh, Witold Pedrycz, Keon-Jun Park:
Structural developments of fuzzy systems with the aid of information granulation. Simul. Model. Pract. Theory 15(10): 1292-1309 (2007) - [j34]Seok-Beom Roh, Witold Pedrycz, Sung-Kwun Oh:
Genetic Optimization of Fuzzy Polynomial Neural Networks. IEEE Trans. Ind. Electron. 54(4): 2219-2238 (2007) - [j33]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Fuzzy Relation-Based Neural Networks and Their Hybrid Identification. IEEE Trans. Instrum. Meas. 56(6): 2522-2537 (2007) - [c57]Jeoung-Nae Choi, Sung-Kwun Oh, Hyung-Soo Hwang:
Optimization of Fuzzy Model Driven to IG and HFC-Based GAs. ICANNGA (1) 2007: 622-630 - [c56]Sung-Kwun Oh, In-Tae Lee, Hyun-Ki Kim, Seong-Whan Jang:
Fuzzy Relation-Based PNNs with the Aid of IG and Symbolic Gene Type-Based GAs. ICANNGA (1) 2007: 666-673 - [c55]Sung-Kwun Oh, In-Tae Lee, Hyun-Ki Kim:
Design of Fuzzy Set-Based Polynomial Neural Networks with the Aid of Symbolic Encoding and Information Granulation. International Conference on Computational Science (4) 2007: 1076-1083 - [c54]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz:
Optimization of IG-Based Fuzzy System with the Aid of GAs and Its Application to Software Process. International Conference on Computational Science (4) 2007: 1108-1115 - [c53]Keon-Jun Park, Sung-Kwun Oh, Hyun-Ki Kim, Witold Pedrycz, Seong-Whan Jang:
Identification of Fuzzy Set-Based Fuzzy Systems by Means of Data Granulation and Genetic Optimization. ICCSA (3) 2007: 1076-1085 - [c52]Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn:
GA-Driven Fuzzy Set-Based Polynomial Neural Networks with Information Granules for Multi-variable Software Process. ISNN (2) 2007: 186-195 - [c51]Sung-Kwun Oh, In-Tae Lee, Witold Pedrycz, Hyun-Ki Kim:
Design of Fuzzy Relation-Based Polynomial Neural Networks Using Information Granulation and Symbolic Gene Type Genetic Algorithms. ISNN (2) 2007: 206-215 - [c50]Jeoung-Nae Choi, Sung-Kwun Oh, Kisung Seo:
Simultaneous Optimization of ANFIS-Based Fuzzy Model Driven to Data Granulation and Parallel Genetic Algorithms. ISNN (3) 2007: 225-230 - 2006
- [j32]Sung-Kwun Oh, Witold Pedrycz:
The design of self-organizing neural networks based on PNs and FPNs with the aid of genetic optimization and extended GMDH method. Int. J. Approx. Reason. 43(1): 26-58 (2006) - [j31]In-Tae Lee, Sung-Kwun Oh, Hyun-Ki Kim, Witold Pedrycz:
Genetically Optimized Fuzzy Polynomial Neural Network and Its Application to Multi-variable Software Process. Int. J. Fuzzy Log. Intell. Syst. 6(1): 33-38 (2006) - [j30]Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh:
Genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons. Inf. Sci. 176(23): 3490-3519 (2006) - [j29]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Genetically Optimized Multi-Layer Fuzzy Polynomial Neural Networks: Analysis and Design. J. Adv. Comput. Intell. Intell. Informatics 10(1): 35-49 (2006) - [j28]Sung-Kwun Oh, Witold Pedrycz:
Multi-layer self-organizing polynomial neural networks and their development with the use of genetic algorithms. J. Frankl. Inst. 343(2): 125-136 (2006) - [j27]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
Fuzzy polynomial neurons as neurofuzzy processing units. Neural Comput. Appl. 15(3-4): 310-327 (2006) - [j26]Sung-Kwun Oh, Witold Pedrycz:
Genetic optimization-driven multi-layer hybrid fuzzy neural networks. Simul. Model. Pract. Theory 14(5): 597-613 (2006) - [j25]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Multilayer hybrid fuzzy neural networks: synthesis via technologies of advanced computational intelligence. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(3): 688-703 (2006) - [j24]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Genetically optimized fuzzy polynomial neural networks. IEEE Trans. Fuzzy Syst. 14(1): 125-144 (2006) - [j23]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
A New Approach to the Development of Genetically Optimized Multilayer Fuzzy Polynomial Neural Networks. IEEE Trans. Ind. Electron. 53(4): 1309-1321 (2006) - [c49]Jeoung-Nae Choi, Sung-Kwun Oh, Hyun-Ki Kim:
Identification of Fuzzy Relation Model Using HFC-Based Parallel Genetic Algorithms and Information Data Granulation. Australian Conference on Artificial Intelligence 2006: 29-38 - [c48]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz:
Design Methodologies of Fuzzy Set-Based Fuzzy Model Based on GAs and Information Granulation. Australian Conference on Artificial Intelligence 2006: 100-109 - [c47]Ho-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn:
Improvement of HSOFPNN Using Evolutionary Algorithm. Australian Conference on Artificial Intelligence 2006: 818-825 - [c46]Ho-Sung Park, Witold Pedrycz, Sung-Kwun Oh:
Evolutionary Design of IG_gHSOFPNN with the aid of Information Granulation. FUZZ-IEEE 2006: 990-996 - [c45]Ho-Sung Park, Kyung-Won Jang, Sung-Kwun Oh, Tae-Chon Ahn:
Design Methodology of Optimized IG_gHSOFPNN and Its Application to pH Neutralization Process. ICONIP (3) 2006: 1079-1086 - [c44]Ho-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn:
Optimization of Self-organizing Fuzzy Polynomial Neural Networks with the Aid of Granular Computing and Evolutionary Algorithm. IEA/AIE 2006: 472-477 - [c43]Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn:
A New Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with Symbolic Gene Type Genetic Algorithms. ISNN (1) 2006: 768-773 - [c42]Sung-Kwun Oh, In-Tae Lee, Jeoung-Nae Choi:
Design of Fuzzy Polynomial Neural Networks with the Aid of Genetic Fuzzy Granulation and Its Application to Multi-variable Process System. ISNN (1) 2006: 774-779 - [c41]Ho-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn:
A Novel Self-Organizing Fuzzy Polynomial Neural Networks with Evolutionary FPNs: Design and Analysis. ISNN (1) 2006: 780-785 - [c40]Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz:
Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference. ISNN (1) 2006: 786-791 - [c39]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz:
Consecutive Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Data Granulation. ISNN (2) 2006: 815-820 - [c38]Sung-Kwun Oh, Keon-Jun Park, Hyun-Ki Kim:
Two-Phase Identification of ANFIS-Based Fuzzy Systems with Fuzzy Set by Means of Information Granulation and Genetic Optimization. ISNN (2) 2006: 821-826 - [c37]Sung-Kwun Oh, Jeoung-Nae Choi, Seong-Whan Jang:
The Design of Fuzzy Controller by Means of Genetic Algorithms and NFN-Based Estimation Technique. PRICAI 2006: 829-833 - [c36]Sung-Kwun Oh, Witold Pedrycz, Wan-Su Kim, Hyun-Ki Kim:
GA-Based Polynomial Neural Networks Architecture and Its Application to Multi-variable Software Process. PRICAI 2006: 834-838 - [c35]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz:
Methodological Identification of Information Granules-Based Fuzzy Systems by Means of Genetic Optimization. RSCTC 2006: 467-476 - [c34]Jeoung-Nae Choi, Sung-Kwun Oh, Witold Pedrycz:
Optimization of Information Granulation-Oriented Fuzzy Set Model Using Hierarchical Fair Competition-Based Parallel Genetic Algorithms. RSCTC 2006: 477-486 - 2005
- [j22]Keon-Jun Park, Young-Il Lee, Sung-Kwun Oh:
Information Granulation-based Fuzzy Inference Systems by Means of Genetic Optimization and Polynomial Fuzzy Inference Method. Int. J. Fuzzy Log. Intell. Syst. 5(3): 253-258 (2005) - [j21]Sung-Kwun Oh, Seok-Beom Roh, Keon-Jun Park:
Genetically Optimized Hybrid Fuzzy Set-based Polynomial Neural Networks with Polynomial and Fuzzy Polynomial Neurons. Int. J. Fuzzy Log. Intell. Syst. 5(4): 327-332 (2005) - [j20]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Multi-layer hybrid fuzzy polynomial neural networks: a design in the framework of computational intelligence. Neurocomputing 64: 397-431 (2005) - [c33]Sung-Kwun Oh, Hyun-Ki Kim, Seong-Whan Jang, Yong-Kab Kim:
Evolutionally Optimized Fuzzy Neural Networks Based on Fuzzy Relation Rules and Evolutionary Data Granulation. Australian Conference on Artificial Intelligence 2005: 1075-1078 - [c32]Sung-Kwun Oh, Hyun-Ki Kim:
Genetically Optimized Hybrid Fuzzy Polynomial Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons. Australian Conference on Artificial Intelligence 2005: 1116-1119 - [c31]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz, Tae-Chon Ahn:
Design of Information Granules-Based Fuzzy Systems Using Clustering Algorithm and Genetic Optimization. Australian Conference on Artificial Intelligence 2005: 1142-1145 - [c30]Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Yong-Kab Kim:
Genetically Dynamic Optimization Based Fuzzy Polynomial Neural Networks. International Conference on Computational Science (1) 2005: 792-797 - [c29]Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Tae-Chon Ahn:
Genetically Optimized Hybrid Fuzzy Neural Networks Based on Simplified Fuzzy Inference Rules and Polynomial Neurons. International Conference on Computational Science (1) 2005: 798-803 - [c28]Sung-Kwun Oh, Seok-Beom Roh:
The Design of Fuzzy Controller by Means of Evolutionary Computing and Neurofuzzy Networks. International Conference on Computational Science (3) 2005: 1080-1083 - [c27]Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim:
Design of Evolutionally Optimized Rule-Based Fuzzy Neural Networks Based on Fuzzy Relation and Evolutionary Optimization. International Conference on Computational Science (3) 2005: 1100-1103 - [c26]Sung-Kwun Oh, Seok-Beom Roh, Daehee Park, Yong-Kab Kim:
FSPN-Based Genetically Optimized Fuzzy Polynomial Neural Networks. ICCSA (4) 2005: 858-866 - [c25]Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim:
Evolutionally Optimized Fuzzy Neural Networks Based on Evolutionary Fuzzy Granulation. ICCSA (4) 2005: 887-895 - [c24]Sung-Kwun Oh, Seok-Beom Roh, Tae-Chon Ahn:
Parameter Estimation of Fuzzy Controller Using Genetic Optimization and Neurofuzzy Networks. ISNN (3) 2005: 107-112 - [c23]Sung-Kwun Oh, Byoung-Jun Park, Hyun-Ki Kim:
Genetically Optimized Hybrid Fuzzy Neural Networks Based on TSK Fuzzy Rules and Polynomial Neurons. ISNN (1) 2005: 404-409 - [c22]Ho-Sung Park, Daehee Park, Sung-Kwun Oh:
Genetically Optimized Self-organizing Fuzzy Polynomial Neural Networks Based on Information Granulation. ISNN (1) 2005: 410-415 - [c21]Sung-Kwun Oh, Keon-Jun Park, Hyung-Soo Hwang:
Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Optimization and Information Granulation. ISNN (1) 2005: 416-421 - [c20]Byoung-Jun Park, Sung-Kwun Oh:
Design of Rule-Based Neurofuzzy Networks by Means of Genetic Fuzzy Set-Based Granulation. ISNN (1) 2005: 422-427 - [c19]Sung-Kwun Oh, Seok-Beom Roh, Yong-Kab Kim:
Design of Genetic Fuzzy Set-Based Polynomial Neural Networks with the Aid of Information Granulation. ISNN (1) 2005: 428-433 - [c18]Yong-Kab Kim, Sunja Lim, Hwan Y. Kim, Sung-Kwun Oh, Chung Yu:
Implementation of Brillouin-Active Fiber Based Neural Network in Smart Structures. ISNN (3) 2005: 987-991 - [c17]Sung-Kwun Oh, Keon-Jun Park, Yong-Soo Kim, Tae-Chon Ahn:
Identification of Fuzzy Systems with the Aid of Genetic Fuzzy Granulation. IWANN 2005: 391-398 - [c16]Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim, Yong-Kab Kim:
Genetically Optimized Hybrid Fuzzy Neural Networks with the Aid of TSK Fuzzy Inference Rules and Polynomial Neural Networks. IWANN 2005: 407-415 - [c15]Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz, Jong-Beom Lee:
IG-Based Genetically Optimized Fuzzy Polynomial Neural Networks. IWANN 2005: 416-423 - [c14]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz:
Optimization of Fuzzy Systems Based on Fuzzy Set Using Genetic Optimization and Information Granulation. MDAI 2005: 316-327 - [c13]Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz:
A New Approach to Genetically Optimized Hybrid Fuzzy Set-Based Polynomial Neural Networks with FSPNs and PNs. MDAI 2005: 328-337 - [c12]Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim:
Genetically Optimized Hybrid Fuzzy Neural Networks in Modeling Software Data. MDAI 2005: 338-345 - [c11]Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim:
Genetically Dynamic Optimized Self-organizing Fuzzy Polynomial Neural Networks with Information Granulation Based FPNs. MDAI 2005: 346-353 - 2004
- [j19]Sung-Kwun Oh, Witold Pedrycz:
A new approach to self-organizing multi-layer fuzzy polynomial neural networks based on genetic optimization. Adv. Eng. Informatics 18(1): 29-39 (2004) - [j18]Sung-Kwun Oh, Dae-Keun Lee, Witold Pedrycz, Dong-Hwa Kim:
The Genetic Design Of Hybrid Fuzzy Controllers. Cybern. Syst. 35(4): 333-361 (2004) - [j17]Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh, Tae-Chon Ahn:
Parameter estimation of fuzzy controller and its application to inverted pendulum. Eng. Appl. Artif. Intell. 17(1): 37-60 (2004) - [j16]Sung-Kwun Oh, Witold Pedrycz:
Self-organizing polynomial neural networks based on polynomial and fuzzy polynomial neurons: analysis and design. Fuzzy Sets Syst. 142(2): 163-198 (2004) - [j15]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Self-organizing neurofuzzy networks in modeling software data. Fuzzy Sets Syst. 145(1): 165-181 (2004) - [j14]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Rule-based multi-FNN identification with the aid of evolutionary fuzzy granulation. Knowl. Based Syst. 17(1): 1-13 (2004) - [j13]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Relation-based neurofuzzy networks with evolutionary data granulation. Math. Comput. Model. 40(7-8): 891-921 (2004) - [c10]Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim, Jong-Beom Lee:
Self-Organizing Multi-layer Fuzzy Polynomial Neural Networks Based on Genetic Optimization. International Conference on Computational Science 2004: 179-187 - [c9]Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn:
Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design. International Conference on Computational Science 2004: 188-195 - [c8]Sung-Kwun Oh, Seok-Beom Roh, Dong-Yoon Lee:
The Design Methodology of Fuzzy Controller Based on Information Granulation (IG)-Based Optimization Approach. International Conference on Computational Science 2004: 691-694 - [c7]Sung-Kwun Oh, Seok-Beom Roh, Dong-Yoon Lee, Sung-Whan Jang:
The Design of Fuzzy Controller by Means of CI Technologies-Based Estimation Technique. ISNN (2) 2004: 65-70 - [c6]Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim:
Genetically Optimized Self-Organizing Neural Networks Based on PNs and FPNs. ISNN (1) 2004: 156-161 - [c5]Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Daehee Park, Yong-Kab Kim:
A New Approach to Self-Organizing Hybrid Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. ISNN (1) 2004: 162-167 - [c4]Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Yong-Soo Kim:
A New Approach to Self-Organizing Polynomial Neural Networks by Means of Genetic Algorithms. ISNN (1) 2004: 174-179 - 2003
- [j12]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Polynomial neural networks architecture: analysis and design. Comput. Electr. Eng. 29(6): 703-725 (2003) - [j11]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Hybrid identification in fuzzy-neural networks. Fuzzy Sets Syst. 138(2): 399-426 (2003) - [j10]Sung-Kwun Oh, Witold Pedrycz:
Fuzzy Polynomial Neuron-Based Self-Organizing Neural Networks. Int. J. Gen. Syst. 32(3): 237-250 (2003) - [j9]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Multi-FNN identification based on HCM clustering and evolutionary fuzzy granulation. Simul. Model. Pract. Theory 11(7-8): 627-642 (2003) - [j8]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Self-organizing neurofuzzy networks based on evolutionary fuzzy granulation. IEEE Trans. Syst. Man Cybern. Part A 33(2): 271-277 (2003) - [c3]Su-Chong Joo, Sung-Kwun Oh, Chang-Sun Shin, Jun Hwang:
CORBA Based Real-Time Object-Group Platform in Distributed Computing Environments. International Conference on Computational Science 2003: 401-411 - [c2]Sung-Kwun Oh, Su-Chong Joo, Chang-Won Jeong, Hyun-Ki Kim:
Self-Organizing Hybrid Neurofuzzy Networks. International Conference on Computational Science 2003: 877-885 - [c1]Sung-Kwun Oh, James F. Peters, Witold Pedrycz, Tae-Chon Ahn:
Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. RSFDGrC 2003: 437-444 - 2002
- [j7]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Implicit rule-based fuzzy-neural networks using the identification algorithm of GA hybrid scheme based on information granulation. Adv. Eng. Informatics 16(4): 247-263 (2002) - [j6]Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn:
Self-organizing neural networks with fuzzy polynomial neurons. Appl. Soft Comput. 2(1): 1-10 (2002) - [j5]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Hybrid identification of fuzzy rule-based models. Int. J. Intell. Syst. 17(1): 77-103 (2002) - [j4]Sung-Kwun Oh, Dong-Won Kim, Witold Pedrycz:
Hybrid Fuzzy Polynomial Neural Networks. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 10(3): 257-280 (2002) - [j3]Sung-Kwun Oh, Witold Pedrycz:
The design of self-organizing Polynomial Neural Networks. Inf. Sci. 141(3-4): 237-258 (2002) - [j2]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
Fuzzy polynomial neural networks: hybrid architectures of fuzzy modeling. IEEE Trans. Fuzzy Syst. 10(5): 607-621 (2002) - 2000
- [j1]Sung-Kwun Oh, Witold Pedrycz:
Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems. Fuzzy Sets Syst. 115(2): 205-230 (2000)
Coauthor Index
[j135] [j134] [j133] [j132] [j131] [j130] [j129] [j128] [j127] [j126] [j125] [j124] [j123] [j122] [j121] [j120] [j119] [j118] [j117] [j115] [j114] [j113] [j112] [j111] [j110] [j108] [j107] [j106] [j105] [j104] [j103] [j101] [j100] [j98] [j97] [j96] [j95] [j94] [j93] [i1] [j92] [j91] [j88] [j87] [j86] [j85] [j84] [j83] [j82] [j81] [j80] [j79] [j78] [c80] [j77] [j76] [j75] [j74] [j73] [j72] [j71] [j70] [j69] [j68] [c79] [c78] [c77] [j67] [j66] [j64] [j63] [j62] [j61] [j60] [j59] [j58] [j57] [j55] [j53] [j52] [j51] [j50] [j48] [j47] [c60] [j46] [j45] [j44] [j43] [j42] [j41] [p2] [p1] [j40] [j38] [j37] [j36] [j35] [j34] [j33] [c54] [c53] [c51] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [c48] [c46] [c40] [c39] [c36] [c35] [c34] [j20] [c31] [c30] [c29] [c27] [c25] [c16] [c15] [c14] [c13] [c12] [c11] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [c10] [c9] [c6] [c5] [c4] [j12] [j11] [j10] [j9] [j8] [c1] [j7] [j6] [j5] [j4] [j3] [j2] [j1]
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last updated on 2024-11-11 22:28 CET by the dblp team
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