| 2009 |
|---|
| 89 | EE | 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) |
| 2008 |
|---|
| 88 | EE | 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 |
| 87 | EE | 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 |
| 86 | EE | Jeoung-Nae Choi,
Sung-Kwun Oh,
Witold Pedrycz:
Identification of fuzzy models using a successive tuning method with a variant identification ratio.
Fuzzy Sets and Systems 159(21): 2873-2889 (2008) |
| 85 | EE | Byoung-Jun Park,
Witold Pedrycz,
Sung-Kwun Oh:
An approach to fuzzy granule-based hierarchical polynomial networks for empirical data modeling in software engineering.
Information & Software Technology 50(9-10): 912-923 (2008) |
| 84 | EE | 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. Reasoning 49(3): 631-648 (2008) |
| 83 | EE | Byoung-Jun Park,
Witold Pedrycz,
Sung-Kwun Oh:
Simplified Fuzzy Inference Rule-Based Genetically Optimized Hybrid Fuzzy Neural Networks.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16(2): 245-274 (2008) |
| 82 | EE | 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) |
| 81 | EE | 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 Recognition 41(12): 3720-3735 (2008) |
| 2007 |
|---|
| 80 | EE | 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 |
| 79 | EE | 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 |
| 78 | EE | 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 |
| 77 | EE | 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 |
| 76 | EE | 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 |
| 75 | EE | Jeoung-Nae Choi,
Sung-Kwun Oh,
Ki-Sung Seo:
Simultaneous Optimization of ANFIS-Based Fuzzy Model Driven to Data Granulation and Parallel Genetic Algorithms.
ISNN (3) 2007: 225-230 |
| 74 | EE | 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 |
| 73 | EE | 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 |
| 72 | EE | 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) |
| 71 | EE | Sung-Kwun Oh,
Witold Pedrycz,
Keon-Jun Park:
Identification of fuzzy systems by means of genetic optimization and data granulation.
Journal of Intelligent and Fuzzy Systems 18(1): 31-41 (2007) |
| 70 | EE | 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) |
| 69 | EE | Sung-Kwun Oh,
Witold Pedrycz,
Keon-Jun Park:
Structural developments of fuzzy systems with the aid of information granulation.
Simulation Modelling Practice and Theory 15(10): 1292-1309 (2007) |
| 68 | EE | 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.
Simulation Modelling Practice and Theory 15(9): 1128-1145 (2007) |
| 2006 |
|---|
| 67 | EE | 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 |
| 66 | EE | 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 |
| 65 | EE | Ho-Sung Park,
Sung-Kwun Oh,
Tae-Chon Ahn:
Improvement of HSOFPNN Using Evolutionary Algorithm.
Australian Conference on Artificial Intelligence 2006: 818-825 |
| 64 | EE | 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 |
| 63 | EE | 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 |
| 62 | EE | 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 |
| 61 | EE | 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 |
| 60 | EE | 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 |
| 59 | EE | 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 |
| 58 | EE | 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 |
| 57 | EE | 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 |
| 56 | EE | 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 |
| 55 | EE | 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 |
| 54 | EE | 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 |
| 53 | EE | 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 |
| 52 | EE | Sung-Kwun Oh,
Witold Pedrycz,
Ho-Sung Park:
Genetically optimized fuzzy polynomial neural networks.
IEEE T. Fuzzy Systems 14(1): 125-144 (2006) |
| 51 | EE | 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) |
| 50 | EE | 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. Reasoning 43(1): 26-58 (2006) |
| 49 | EE | Sung-Kwun Oh,
Witold Pedrycz,
Ho-Sung Park:
Genetically Optimized Multi-Layer Fuzzy Polynomial Neural Networks: Analysis and Design.
JACIII 10(1): 35-49 (2006) |
| 48 | EE | Byoung-Jun Park,
Witold Pedrycz,
Sung-Kwun Oh:
Fuzzy polynomial neurons as neurofuzzy processing units.
Neural Computing and Applications 15(3-4): 310-327 (2006) |
| 47 | EE | Sung-Kwun Oh,
Witold Pedrycz:
Genetic optimization-driven multi-layer hybrid fuzzy neural networks.
Simulation Modelling Practice and Theory 14(5): 597-613 (2006) |
| 2005 |
|---|
| 46 | EE | 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 |
| 45 | EE | 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 |
| 44 | EE | 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 |
| 43 | EE | Sung-Kwun Oh,
Seok-Beom Roh,
Daehee Park,
Yong-Kab Kim:
FSPN-Based Genetically Optimized Fuzzy Polynomial Neural Networks.
ICCSA (4) 2005: 858-866 |
| 42 | EE | 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 |
| 41 | EE | 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 |
| 40 | EE | 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 |
| 39 | EE | Sung-Kwun Oh,
Keon-Jun Park,
Hyungsoo Hwang:
Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Optimization and Information Granulation.
ISNN (1) 2005: 416-421 |
| 38 | EE | 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 |
| 37 | EE | Sung-Kwun Oh,
Seok-Beom Roh,
Yongkab Kim:
Design of Genetic Fuzzy Set-Based Polynomial Neural Networks with the Aid of Information Granulation.
ISNN (1) 2005: 428-433 |
| 36 | EE | 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 |
| 35 | EE | Yongkab 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 |
| 34 | EE | 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 |
| 33 | EE | 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 |
| 32 | EE | Sung-Kwun Oh,
Seok-Beom Roh,
Witold Pedrycz,
Jong-Beom Lee:
IG-Based Genetically Optimized Fuzzy Polynomial Neural Networks.
IWANN 2005: 416-423 |
| 31 | EE | Ho-Sung Park,
Sung-Kwun Oh,
Witold Pedrycz,
Yongkab Kim:
Genetically Dynamic Optimization Based Fuzzy Polynomial Neural Networks.
International Conference on Computational Science (1) 2005: 792-797 |
| 30 | EE | 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 |
| 29 | EE | 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 |
| 28 | EE | 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 |
| 27 | EE | 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 |
| 26 | EE | 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 |
| 25 | EE | 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 |
| 24 | EE | 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 |
| 23 | EE | 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) |
| 2004 |
|---|
| 22 | EE | 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 |
| 21 | EE | Ho-Sung Park,
Sung-Kwun Oh,
Witold Pedrycz,
Daehee Park,
Yongkab Kim:
A New Approach to Self-Organizing Hybrid Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies.
ISNN (1) 2004: 162-167 |
| 20 | EE | 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 |
| 19 | EE | 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 |
| 18 | EE | 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 |
| 17 | EE | 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 |
| 16 | EE | 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 |
| 15 | EE | Sung-Kwun Oh,
Witold Pedrycz:
A new approach to self-organizing multi-layer fuzzy polynomial neural networks based on genetic optimization.
Advanced Engineering Informatics 18(1): 29-39 (2004) |
| 14 | EE | Sung-Kwun Oh,
Dae-Keun Lee,
Witold Pedrycz,
Dong-Hwa Kim:
The Genetic Design Of Hybrid Fuzzy Controllers.
Cybernetics and Systems 35(4): 333-361 (2004) |
| 13 | EE | Sung-Kwun Oh,
Witold Pedrycz:
Self-organizing polynomial neural networks based on polynomial and fuzzy polynomial neurons: analysis and design.
Fuzzy Sets and Systems 142(2): 163-198 (2004) |
| 12 | EE | Sung-Kwun Oh,
Witold Pedrycz,
Byoung-Jun Park:
Self-organizing neurofuzzy networks in modeling software data.
Fuzzy Sets and Systems 145(1): 165-181 (2004) |
| 11 | EE | 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) |
| 2003 |
|---|
| 10 | EE | 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 |
| 9 | EE | 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 |
| 8 | EE | 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 |
| 7 | EE | Sung-Kwun Oh,
Witold Pedrycz,
Ho-Sung Park:
Hybrid identification in fuzzy-neural networks.
Fuzzy Sets and Systems 138(2): 399-426 (2003) |
| 6 | | Sung-Kwun Oh,
Witold Pedrycz,
Byoung-Jun Park:
Self-organizing neurofuzzy networks based on evolutionary fuzzy granulation.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 33(2): 271-277 (2003) |
| 2002 |
|---|
| 5 | EE | 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.
Advanced Engineering Informatics 16(4): 247-263 (2002) |
| 4 | EE | Sung-Kwun Oh,
Witold Pedrycz,
Tae-Chon Ahn:
Self-organizing neural networks with fuzzy polynomial neurons.
Appl. Soft Comput. 2(1): 1-10 (2002) |
| 3 | EE | Sung-Kwun Oh,
Witold Pedrycz:
The design of self-organizing Polynomial Neural Networks.
Inf. Sci. 141(3-4): 237-258 (2002) |
| 2 | | Sung-Kwun Oh,
Witold Pedrycz,
Byoung-Jun Park:
Hybrid identification of fuzzy rule-based models.
Int. J. Intell. Syst. 17(1): 77-103 (2002) |
| 1 | EE | Sung-Kwun Oh,
Dong-Won Kim,
Witold Pedrycz:
Hybrid Fuzzy Polynomial Neural Networks.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10(3): 257-280 (2002) |
