A fuzzy ensemble of parallel polynomial neural networks with information granules formed by fuzzy clustering
Tài liệu tham khảo
Tong, 1978, Synthesis of fuzzy models for industrial processes, Int. J. Gen. Syst., 4, 143, 10.1080/03081077808960680
Takagi, 1985, Fuzzy identification of systems and its applications to modeling and control, IEEE Trans. Syst. Man Cybern., 15, 116, 10.1109/TSMC.1985.6313399
Oh, 2003, Fuzzy polynomial neuron-based self-organizing neural networks, Int. J. Gen. Syst., 32, 237, 10.1080/0308107031000090756
Yen, 1998, Improving the interpretability of TSK fuzzy models by combining global learning and local learning, IEEE Trans. Fuzzy Syst., 6, 10.1109/91.728447
Kleinsteuber, 1996, A polynomial network modeling approach to a class of large-scale hydraulic systems, Comput. Elect. Eng., 22, 151, 10.1016/0045-7906(95)00033-X
A.G. Ivahnenko, Polynomial theory of complex systems, IEEE Transactions on Systems, Man and Cybernetics, vol. SMC-12, 1971, pp. 364–378.
Oh, 2002, The design of self-organizing polynomial neural networks, Inform. Sci., 141, 237, 10.1016/S0020-0255(02)00175-5
Oh, 2003, Polynomial neural networks architecture: analysis and design, Comput. Electr. Eng., 29, 703, 10.1016/S0045-7906(02)00045-9
Farrow, 1984, The GMDH algorithm, 1
Zadeh, 1997, Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic, Fuzzy Sets Syst., 90, 111, 10.1016/S0165-0114(97)00077-8
Pedrycz, 1996, Fuzzy multimodels, IEEE Trans. Fuzzy Syst., 4, 139, 10.1109/91.493908
Pedrycz, 2006, Linguistic models as a framework of user-centric system modeling, IEEE Trans. Syst. Man Cybern. A, 36, 727, 10.1109/TSMCA.2005.855755
Oh, 2000, Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems, Fuzzy Sets Syst., 115, 205, 10.1016/S0165-0114(98)00174-2
Kim, 1998, A simple identified Sugeno-type fuzzy model via double clustering, Inform. Sci., 110, 25, 10.1016/S0020-0255(97)10083-4
Oh, 2002, Hybrid fuzzy polynomial neural networks, Int. J. Uncertain. Fuzz. Knowledge-Based Syst., 10, 257, 10.1142/S0218488502001478
Oh, 2000, Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems, Fuzzy Sets Syst., 115, 205, 10.1016/S0165-0114(98)00174-2
Oh, 2002, Self-organizing neural networks with fuzzy polynomial neurons, Appl. Soft Comput., 2, 1, 10.1016/S1568-4946(02)00023-6
Park, 2002, Fuzzy polynomial neural networks: hybrid architectures of fuzzy modeling, IEEE Trans. Fuzzy Syst., 10, 607, 10.1109/TFUZZ.2002.803495
Oh, 2003, Hybrid identification in fuzzy-neural networks, Fuzzy Sets Syst., 138, 399, 10.1016/S0165-0114(02)00441-4
Oh, 2004, Rule-based multi-FNN identification with the aid of evolutionary fuzzy granulation, J. Knowledge-Based Syst., 17, 1, 10.1016/S0950-7051(03)00047-9
B. Bouchon-Meunier, Linguistic hedges and fuzzy logic, in: Fuzzy Systems, IEEE International Conference, 1992, pp. 247–254.
Keller, 1985, A fuzzy K-nearest neighbor algorithm, IEEE Trans. Syst. Man Cybern. SMC, 15, 580, 10.1109/TSMC.1985.6313426
Peng, 2007, A novel continuous forward algorithm for RBF neural modelling, IEEE Trans. Automat. Control, 52, 117, 10.1109/TAC.2006.886541
Wedge, 2006, On global–local artificial neural networks for function approximation, IEEE Trans. Neural Networks, 17, 942, 10.1109/TNN.2006.875972
Yang, 2006, A novel radial basis function neural network for discriminant analysis, IEEE Trans. Neural Networks, 17, 604, 10.1109/TNN.2006.873282
Peng, 2006, A hybrid forward algorithm for RBF neural network construction, IEEE Trans. Neural Networks, 17, 1439, 10.1109/TNN.2006.880860
Yeung, 2007, Localized generalization error model and its application to architecture selection for radial basis function neural network, IEEE Trans. Neural Networks, 18, 1294, 10.1109/TNN.2007.894058
Camps-Valls, 2005, Kernel-based methods for hyperspectral image classification, IEEE Trans. Geosci. Remote Sensing, 43, 1351, 10.1109/TGRS.2005.846154
Er, 2005, High-speed face recognition based on discrete cosine transform and RBF neural networks, IEEE Trans. Neural Networks, 16, 679, 10.1109/TNN.2005.844909
Huang, 2005, A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation, IEEE Trans. Neural Networks, 16, 57, 10.1109/TNN.2004.836241
Oyang, 2005, Data classification with radial basis function networks based on a novel kernel density estimation algorithm, IEEE Trans. Neural Networks, 16, 225, 10.1109/TNN.2004.836229
Chiu, 1994, Fuzzy model identification based on cluster estimation, J. Intell. Fuzzy Syst., 2, 267, 10.3233/IFS-1994-2306
Jang, 1993, ANFIS: adaptive-network-based fuzzy inference system, IEEE Trans. Syst. Man Cybern., 23, 665, 10.1109/21.256541
Qian, 2009, Knowledge structure knowledge granulation and knowledge distance in a knowledge base, Int. J. Approx. Reason., 50, 174, 10.1016/j.ijar.2008.08.004
Qian, 2008, Combination entropy, and combination granulation in rough set theory, Int. J. Uncertain. Fuzz. Knowledge-Based Syst., 16, 179, 10.1142/S0218488508005121
Park, 2008, Optimization of fuzzy set-fuzzy systems based on IG by means of GAs with successive tuning method, J. Elect. Eng. Technol., 3, 101, 10.5370/JEET.2008.3.1.101