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Sung-Kwun Oh

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2009
89EESung-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
88EESung-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
87EESung-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
86EEJeoung-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)
85EEByoung-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)
84EEJeoung-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)
83EEByoung-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)
82EEWitold 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)
81EEWitold 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
80EEJeoung-Nae Choi, Sung-Kwun Oh, Hyung-Soo Hwang: Optimization of Fuzzy Model Driven to IG and HFC-Based GAs. ICANNGA (1) 2007: 622-630
79EESung-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
78EEKeon-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
77EESeok-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
76EESung-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
75EEJeoung-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
74EESung-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
73EESung-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
72EEHo-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)
71EESung-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)
70EESung-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)
69EESung-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)
68EEKeon-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
67EESung-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
66EEJeoung-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
65EEHo-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn: Improvement of HSOFPNN Using Evolutionary Algorithm. Australian Conference on Artificial Intelligence 2006: 818-825
64EEHo-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
63EEHo-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
62EESeok-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
61EESung-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
60EEHo-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
59EESung-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
58EESung-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
57EESung-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
56EESung-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
55EESung-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
54EESung-Kwun Oh, Keon-Jun Park, Witold Pedrycz: Methodological Identification of Information Granules-Based Fuzzy Systems by Means of Genetic Optimization. RSCTC 2006: 467-476
53EEJeoung-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
52EESung-Kwun Oh, Witold Pedrycz, Ho-Sung Park: Genetically optimized fuzzy polynomial neural networks. IEEE T. Fuzzy Systems 14(1): 125-144 (2006)
51EESung-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)
50EESung-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)
49EESung-Kwun Oh, Witold Pedrycz, Ho-Sung Park: Genetically Optimized Multi-Layer Fuzzy Polynomial Neural Networks: Analysis and Design. JACIII 10(1): 35-49 (2006)
48EEByoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh: Fuzzy polynomial neurons as neurofuzzy processing units. Neural Computing and Applications 15(3-4): 310-327 (2006)
47EESung-Kwun Oh, Witold Pedrycz: Genetic optimization-driven multi-layer hybrid fuzzy neural networks. Simulation Modelling Practice and Theory 14(5): 597-613 (2006)
2005
46EESung-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
45EESung-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
44EESung-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
43EESung-Kwun Oh, Seok-Beom Roh, Daehee Park, Yong-Kab Kim: FSPN-Based Genetically Optimized Fuzzy Polynomial Neural Networks. ICCSA (4) 2005: 858-866
42EESung-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
41EESung-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
40EEHo-Sung Park, Daehee Park, Sung-Kwun Oh: Genetically Optimized Self-organizing Fuzzy Polynomial Neural Networks Based on Information Granulation. ISNN (1) 2005: 410-415
39EESung-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
38EEByoung-Jun Park, Sung-Kwun Oh: Design of Rule-Based Neurofuzzy Networks by Means of Genetic Fuzzy Set-Based Granulation. ISNN (1) 2005: 422-427
37EESung-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
36EESung-Kwun Oh, Seok-Beom Roh, Tae-Chon Ahn: Parameter Estimation of Fuzzy Controller Using Genetic Optimization and Neurofuzzy Networks. ISNN (3) 2005: 107-112
35EEYongkab 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
34EESung-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
33EESung-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
32EESung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz, Jong-Beom Lee: IG-Based Genetically Optimized Fuzzy Polynomial Neural Networks. IWANN 2005: 416-423
31EEHo-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
30EESung-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
29EESung-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
28EEByoung-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
27EESung-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
26EESung-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
25EESung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim: Genetically Optimized Hybrid Fuzzy Neural Networks in Modeling Software Data. MDAI 2005: 338-345
24EEHo-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
23EESung-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
22EEHo-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
21EEHo-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
20EESung-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
19EESung-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
18EESung-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
17EEByoung-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
16EESung-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
15EESung-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)
14EESung-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)
13EESung-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)
12EESung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park: Self-organizing neurofuzzy networks in modeling software data. Fuzzy Sets and Systems 145(1): 165-181 (2004)
11EESung-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
10EESu-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
9EESung-Kwun Oh, Su-Chong Joo, Chang-Won Jeong, Hyun-Ki Kim: Self-Organizing Hybrid Neurofuzzy Networks. International Conference on Computational Science 2003: 877-885
8EESung-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
7EESung-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
5EESung-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)
4EESung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn: Self-organizing neural networks with fuzzy polynomial neurons. Appl. Soft Comput. 2(1): 1-10 (2002)
3EESung-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)
1EESung-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)

Coauthor Index

1Tae-Chon Ahn [4] [8] [17] [30] [34] [36] [44] [60] [62] [63] [64] [65] [70] [77]
2Jeoung-Nae Choi [53] [56] [61] [66] [75] [80] [84] [86]
3Hyung-Soo Hwang [80]
4Hyungsoo Hwang [39]
5Jun Hwang [10]
6Kyung-Won Jang [64]
7Seong-Whan Jang [46] [56] [78] [79]
8Sung-Whan Jang [19]
9Chang-Won Jeong [9]
10Su-Chong Joo [9] [10]
11Dong-Hwa Kim [14]
12Dong-Won Kim [1]
13Hwan Y. Kim [35]
14Hyun-Ki Kim [9] [18] [22] [24] [25] [28] [33] [41] [42] [45] [46] [55] [57] [66] [74] [76] [78] [79]
15Wan-Su Kim [55]
16Yong-Kab Kim [33] [43] [46]
17Yong-Soo Kim [20] [34]
18Yongkab Kim [21] [31] [35] [37]
19Dae-Keun Lee [14]
20Dong-Yoon Lee [16] [19]
21In-Tae Lee [61] [74] [76] [79]
22Jong-Beom Lee [18] [32]
23Sunja Lim [35]
24Byoung-Jun Park [2] [6] [12] [17] [20] [25] [28] [30] [38] [41] [42] [48] [59] [81] [83] [85]
25Daehee Park [21] [40] [43]
26Ho-Sung Park [5] [7] [11] [21] [22] [23] [24] [31] [40] [49] [52] [60] [63] [64] [65] [72] [82]
27Keon-Jun Park [27] [34] [39] [44] [54] [57] [58] [67] [68] [69] [71] [73] [78]
28Witold Pedrycz [1] [2] [3] [4] [5] [6] [7] [8] [11] [12] [13] [14] [15] [17] [18] [20] [21] [22] [23] [24] [25] [26] [27] [28] [30] [31] [32] [33] [42] [44] [47] [48] [49] [50] [51] [52] [53] [54] [55] [58] [59] [67] [68] [69] [70] [71] [72] [73] [76] [78] [81] [82] [83] [84] [85] [86] [87] [88] [89]
29James F. Peters [8]
30Seok-Beom Roh [16] [19] [26] [29] [32] [36] [37] [43] [51] [62] [70] [77] [89]
31Ki-Sung Seo [75]
32Chang-Sun Shin [10]
33Chung Yu [35]

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)