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Sung-Kwun Oh: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jeoung-Nae Choi, Sung-Kwun Oh, Hyun-Ki Kim
    Identification of Fuzzy Relation Model Using HFC-Based Parallel Genetic Algorithms and Information Data Granulation. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:29-38 [Conf]
  2. Sung-Kwun Oh, Hyun-Ki Kim
    Genetically Optimized Hybrid Fuzzy Polynomial Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2005, pp:1116-1119 [Conf]
  3. 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. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2005, pp:1075-1078 [Conf]
  4. Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz
    Design Methodologies of Fuzzy Set-Based Fuzzy Model Based on GAs and Information Granulation. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:100-109 [Conf]
  5. Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz, Tae-Chon Ahn
    Design of Information Granules-Based Fuzzy Systems Using Clustering Algorithm and Genetic Optimization. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2005, pp:1142-1145 [Conf]
  6. Ho-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn
    Improvement of HSOFPNN Using Evolutionary Algorithm. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:818-825 [Conf]
  7. Su-Chong Joo, Sung-Kwun Oh, Chang-Sun Shin, Jun Hwang
    CORBA Based Real-Time Object-Group Platform in Distributed Computing Environments. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science, 2003, pp:401-411 [Conf]
  8. Sung-Kwun Oh, Seok-Beom Roh
    The Design of Fuzzy Controller by Means of Evolutionary Computing and Neurofuzzy Networks. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (3), 2005, pp:1080-1083 [Conf]
  9. Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn
    Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science, 2004, pp:188-195 [Conf]
  10. Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Yongkab Kim
    Genetically Dynamic Optimization Based Fuzzy Polynomial Neural Networks. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (1), 2005, pp:792-797 [Conf]
  11. 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. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (3), 2005, pp:1100-1103 [Conf]
  12. Sung-Kwun Oh, Su-Chong Joo, Chang-Won Jeong, Hyun-Ki Kim
    Self-Organizing Hybrid Neurofuzzy Networks. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science, 2003, pp:877-885 [Conf]
  13. Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim, Jong-Beom Lee
    Self-Organizing Multi-layer Fuzzy Polynomial Neural Networks Based on Genetic Optimization. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science, 2004, pp:179-187 [Conf]
  14. 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. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (1), 2005, pp:798-803 [Conf]
  15. Sung-Kwun Oh, Seok-Beom Roh, Dong-Yoon Lee
    The Design Methodology of Fuzzy Controller Based on Information Granulation (IG)-Based Optimization Approach. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science, 2004, pp:691-694 [Conf]
  16. Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim
    Evolutionally Optimized Fuzzy Neural Networks Based on Evolutionary Fuzzy Granulation. [Citation Graph (0, 0)][DBLP]
    ICCSA (4), 2005, pp:887-895 [Conf]
  17. Sung-Kwun Oh, Seok-Beom Roh, Daehee Park, Yong-Kab Kim
    FSPN-Based Genetically Optimized Fuzzy Polynomial Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICCSA (4), 2005, pp:858-866 [Conf]
  18. 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. [Citation Graph (0, 0)][DBLP]
    ICONIP (3), 2006, pp:1079-1086 [Conf]
  19. 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. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2006, pp:472-477 [Conf]
  20. Yongkab Kim, Sunja Lim, Hwan Y. Kim, Sung-Kwun Oh, Chung Yu
    Implementation of Brillouin-Active Fiber Based Neural Network in Smart Structures. [Citation Graph (0, 0)][DBLP]
    ISNN (3), 2005, pp:987-991 [Conf]
  21. Sung-Kwun Oh, Seok-Beom Roh, Tae-Chon Ahn
    Parameter Estimation of Fuzzy Controller Using Genetic Optimization and Neurofuzzy Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (3), 2005, pp:107-112 [Conf]
  22. 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. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:174-179 [Conf]
  23. Sung-Kwun Oh, Seok-Beom Roh, Yongkab Kim
    Design of Genetic Fuzzy Set-Based Polynomial Neural Networks with the Aid of Information Granulation. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2005, pp:428-433 [Conf]
  24. 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. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2004, pp:65-70 [Conf]
  25. 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. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:774-779 [Conf]
  26. Sung-Kwun Oh, Keon-Jun Park, Hyungsoo Hwang
    Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Optimization and Information Granulation. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2005, pp:416-421 [Conf]
  27. Sung-Kwun Oh, Byoung-Jun Park, Hyun-Ki Kim
    Genetically Optimized Hybrid Fuzzy Neural Networks Based on TSK Fuzzy Rules and Polynomial Neurons. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2005, pp:404-409 [Conf]
  28. 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. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2006, pp:821-826 [Conf]
  29. Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz
    Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:786-791 [Conf]
  30. Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz
    Consecutive Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Data Granulation. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2006, pp:815-820 [Conf]
  31. Byoung-Jun Park, Sung-Kwun Oh
    Design of Rule-Based Neurofuzzy Networks by Means of Genetic Fuzzy Set-Based Granulation. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2005, pp:422-427 [Conf]
  32. Ho-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn
    A Novel Self-Organizing Fuzzy Polynomial Neural Networks with Evolutionary FPNs: Design and Analysis. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:780-785 [Conf]
  33. Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim
    Genetically Optimized Self-Organizing Neural Networks Based on PNs and FPNs. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:156-161 [Conf]
  34. 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. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:162-167 [Conf]
  35. Hosung Park, Daehee Park, Sung-Kwun Oh
    Genetically Optimized Self-organizing Fuzzy Polynomial Neural Networks Based on Information Granulation. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2005, pp:410-415 [Conf]
  36. 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. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:768-773 [Conf]
  37. Sung-Kwun Oh, Keon-Jun Park, Yong-Soo Kim, Tae-Chon Ahn
    Identification of Fuzzy Systems with the Aid of Genetic Fuzzy Granulation. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:391-398 [Conf]
  38. 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. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:407-415 [Conf]
  39. Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz, Jong-Beom Lee
    IG-Based Genetically Optimized Fuzzy Polynomial Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:416-423 [Conf]
  40. 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. [Citation Graph (0, 0)][DBLP]
    MDAI, 2005, pp:346-353 [Conf]
  41. 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. [Citation Graph (0, 0)][DBLP]
    MDAI, 2005, pp:328-337 [Conf]
  42. Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz
    Optimization of Fuzzy Systems Based on Fuzzy Set Using Genetic Optimization and Information Granulation. [Citation Graph (0, 0)][DBLP]
    MDAI, 2005, pp:316-327 [Conf]
  43. Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim
    Genetically Optimized Hybrid Fuzzy Neural Networks in Modeling Software Data. [Citation Graph (0, 0)][DBLP]
    MDAI, 2005, pp:338-345 [Conf]
  44. 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. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2006, pp:834-838 [Conf]
  45. Sung-Kwun Oh, Jeoung-Nae Choi, Seong-Whan Jang
    The Design of Fuzzy Controller by Means of Genetic Algorithms and NFN-Based Estimation Technique. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2006, pp:829-833 [Conf]
  46. Jeoung-Nae Choi, Sung-Kwun Oh, Witold Pedrycz
    Optimization of Information Granulation-Oriented Fuzzy Set Model Using Hierarchical Fair Competition-Based Parallel Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:477-486 [Conf]
  47. Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz
    Methodological Identification of Information Granules-Based Fuzzy Systems by Means of Genetic Optimization. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:467-476 [Conf]
  48. Sung-Kwun Oh, James F. Peters, Witold Pedrycz, Tae-Chon Ahn
    Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2003, pp:437-444 [Conf]
  49. Sung-Kwun Oh, Witold Pedrycz
    A new approach to self-organizing multi-layer fuzzy polynomial neural networks based on genetic optimization. [Citation Graph (0, 0)][DBLP]
    Advanced Engineering Informatics, 2004, v:18, n:1, pp:29-39 [Journal]
  50. 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. [Citation Graph (0, 0)][DBLP]
    Advanced Engineering Informatics, 2002, v:16, n:4, pp:247-263 [Journal]
  51. Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn
    Self-organizing neural networks with fuzzy polynomial neurons. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2002, v:2, n:1, pp:1-10 [Journal]
  52. Sung-Kwun Oh, Dae-Keun Lee, Witold Pedrycz, Dong-Hwa Kim
    The Genetic Design Of Hybrid Fuzzy Controllers. [Citation Graph (0, 0)][DBLP]
    Cybernetics and Systems, 2004, v:35, n:4, pp:333-361 [Journal]
  53. Ho-Sung Park, Witold Pedrycz, Sung-Kwun Oh
    Evolutionary design of hybrid self-organizing fuzzy polynomial neural networks with the aid of information granulation. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:33, n:4, pp:830-846 [Journal]
  54. Sung-Kwun Oh, Witold Pedrycz
    Self-organizing polynomial neural networks based on polynomial and fuzzy polynomial neurons: analysis and design. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:142, n:2, pp:163-198 [Journal]
  55. Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park
    Hybrid identification in fuzzy-neural networks. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2003, v:138, n:2, pp:399-426 [Journal]
  56. Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park
    Self-organizing neurofuzzy networks in modeling software data. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:145, n:1, pp:165-181 [Journal]
  57. 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. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2006, v:43, n:1, pp:26-58 [Journal]
  58. Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park
    Hybrid identification of fuzzy rule-based models. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2002, v:17, n:1, pp:77-103 [Journal]
  59. Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park
    Multi-layer hybrid fuzzy polynomial neural networks: a design in the framework of computational intelligence. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:64, n:, pp:397-431 [Journal]
  60. Sung-Kwun Oh, Dong-Won Kim, Witold Pedrycz
    Hybrid Fuzzy Polynomial Neural Networks. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2002, v:10, n:3, pp:257-280 [Journal]
  61. Sung-Kwun Oh, Witold Pedrycz
    The design of self-organizing Polynomial Neural Networks. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2002, v:141, n:3-4, pp:237-258 [Journal]
  62. Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh
    Genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2006, v:176, n:23, pp:3490-3519 [Journal]
  63. Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park
    Genetically Optimized Multi-Layer Fuzzy Polynomial Neural Networks: Analysis and Design. [Citation Graph (0, 0)][DBLP]
    JACIII, 2006, v:10, n:1, pp:35-49 [Journal]
  64. Sung-Kwun Oh, Witold Pedrycz, Keon-Jun Park
    Identification of fuzzy systems by means of genetic optimization and data granulation. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2007, v:18, n:1, pp:31-41 [Journal]
  65. Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park
    Rule-based multi-FNN identification with the aid of evolutionary fuzzy granulation. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 2004, v:17, n:1, pp:1-13 [Journal]
  66. Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh
    Fuzzy polynomial neurons as neurofuzzy processing units. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2006, v:15, n:3-4, pp:310-327 [Journal]
  67. Sung-Kwun Oh, Witold Pedrycz
    Genetic optimization-driven multi-layer hybrid fuzzy neural networks. [Citation Graph (0, 0)][DBLP]
    Simulation Modelling Practice and Theory, 2006, v:14, n:5, pp:597-613 [Journal]
  68. Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park
    Genetically optimized fuzzy polynomial neural networks. [Citation Graph (0, 0)][DBLP]
    IEEE T. Fuzzy Systems, 2006, v:14, n:1, pp:125-144 [Journal]
  69. Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park
    Self-organizing neurofuzzy networks based on evolutionary fuzzy granulation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2003, v:33, n:2, pp:271-277 [Journal]
  70. 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. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (4), 2007, pp:1108-1115 [Conf]
  71. 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. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (4), 2007, pp:1076-1083 [Conf]
  72. 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. [Citation Graph (0, 0)][DBLP]
    ICCSA (3), 2007, pp:1076-1085 [Conf]
  73. 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. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2007, pp:206-215 [Conf]
  74. 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. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2007, pp:186-195 [Conf]
  75. Jeoung-Nae Choi, Sung-Kwun Oh, Ki-Sung Seo
    Simultaneous Optimization of ANFIS-Based Fuzzy Model Driven to Data Granulation and Parallel Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ISNN (3), 2007, pp:225-230 [Conf]
  76. 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. [Citation Graph (0, 0)][DBLP]
    ICANNGA (1), 2007, pp:666-673 [Conf]
  77. Jeoung-Nae Choi, Sung-Kwun Oh, Hyung-Soo Hwang
    Optimization of Fuzzy Model Driven to IG and HFC-Based GAs. [Citation Graph (0, 0)][DBLP]
    ICANNGA (1), 2007, pp:622-630 [Conf]
  78. 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. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:16-18, pp:2783-2798 [Journal]

  79. Development of Design Strategy for RBF Neural Network with the Aid of Context-Based FCM. [Citation Graph (, )][DBLP]


  80. Fuzzy Radial Basis Function Neural Networks with Information Granulation and Its Genetic Optimization. [Citation Graph (, )][DBLP]


  81. Genetic-Based Granular Radial Basis Function Neural Network. [Citation Graph (, )][DBLP]


  82. Design of Information Granulation-Based Fuzzy Radial Basis Function Neural Networks Using NSGA-II. [Citation Graph (, )][DBLP]


  83. Structural Design of Optimized Polynomial Radial Basis Function Neural Networks. [Citation Graph (, )][DBLP]


  84. Optimized FCM-Based Radial Basis Function Neural Networks: A Comparative Analysis of LSE and WLSE Method. [Citation Graph (, )][DBLP]


  85. A Experimental Study on Space Search Algorithm in ANFIS-Based Fuzzy Models. [Citation Graph (, )][DBLP]


  86. Polynomial-based radial basis function neural networks (P-RBF NNs) and their application to pattern classification. [Citation Graph (, )][DBLP]


  87. Hybrid fuzzy set-based polynomial neural networks and their development with the aid of genetic optimization and information granulation. [Citation Graph (, )][DBLP]


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