| 2008 |
|---|
| 16 | 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) |
| 15 | 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) |
| 14 | 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) |
| 2006 |
|---|
| 13 | 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 |
| 12 | 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) |
| 2005 |
|---|
| 11 | 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 |
| 10 | 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 |
| 9 | 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 |
| 8 | 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 |
| 7 | 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 |
| 6 | 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 |
| 2004 |
|---|
| 5 | 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 |
| 4 | 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 |
| 3 | 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) |
| 2003 |
|---|
| 2 | | 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 |
|---|
| 1 | | Sung-Kwun Oh,
Witold Pedrycz,
Byoung-Jun Park:
Hybrid identification of fuzzy rule-based models.
Int. J. Intell. Syst. 17(1): 77-103 (2002) |
