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Efficient Reinforcement Hybrid Evolutionary Learning for Recurrent Wavelet-Based Neuro-fuzzy Systems.

, , and . IEA/AIE, volume 4570 of Lecture Notes in Computer Science, page 207-216. Springer, (2007)

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Pattern recognition using neural-fuzzy networks based on improved particle swam optimization., , and . Expert Syst. Appl., 36 (3): 5402-5410 (2009)A new pseudo-Gaussian-based recurrent fuzzy CMAC model for dynamic systems processing., , and . Int. J. Syst. Sci., 39 (3): 289-304 (2008)A self-organizing recurrent fuzzy CMAC model for dynamic system identification., , and . FUZZ-IEEE, page 697-702. IEEE, (2004)A novel hybrid learning algorithm for parametric fuzzy CMAC networks and its classification applications., , and . Expert Syst. Appl., 35 (4): 1711-1720 (2008)An Efficient Genetic Algorithm for TSK-Type Neural Fuzzy Identifier Design., , and . IEA/AIE, volume 3533 of Lecture Notes in Computer Science, page 551-553. Springer, (2005)Efficient Reinforcement Hybrid Evolutionary Learning for Recurrent Wavelet-Based Neuro-fuzzy Systems., , and . IEA/AIE, volume 4570 of Lecture Notes in Computer Science, page 207-216. Springer, (2007)The Design of Neuro-Fuzzy Networks Using Particle Swarm Optimization and Recursive Singular Value Decomposition., , and . IJCNN, page 2887-2893. IEEE, (2006)Non-linear system control using a recurrent fuzzy neural network based on improved particle swarm optimisation., and . Int. J. Systems Science, 41 (4): 381-395 (2010)Design of a lane detection and departure warning system using functional-link-based neuro-fuzzy networks., , , and . FUZZ-IEEE, page 1-7. IEEE, (2010)A Parametric Fuzzy CMAC Model with Hybrid Evolutionary Learning Algorithms., , and . J. Multiple Valued Log. Soft Comput., 13 (1-2): 89-114 (2007)