Fuzzy mixtures of complementary local experts: towards neuro-fuzzy modular networks
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[1] Yoshiki Uchikawa,et al. On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm , 1992, IEEE Trans. Neural Networks.
[2] John E. Dennis,et al. An Adaptive Nonlinear Least-Squares Algorithm , 1977, TOMS.
[3] Geoffrey E. Hinton,et al. Adaptive Mixtures of Local Experts , 1991, Neural Computation.
[4] Eiji Mizutani,et al. Multi-illuminant color reproduction for electronic cameras via CANFIS neuro-fuzzy modular network device characterization , 2002, IEEE Trans. Neural Networks.
[5] Hideyuki Takagi,et al. Neural networks designed on approximate reasoning architecture and their applications , 1992, IEEE Trans. Neural Networks.
[6] E. Mizutani,et al. On separable nonlinear least squares algorithms for neuro-fuzzy modular network learning , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).
[7] James Demmel,et al. On Iterative Krylov-Dogleg Trust-Region Steps for Solving Neural Networks Nonlinear Least Squares Problems , 2000, NIPS.
[8] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.