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An efficient recurrent fuzzy CMAC model based on a dynamic-group-based hybrid evolutionary algorithm for identification and prediction applications.

, и . Turkish J. Electr. Eng. Comput. Sci., 26 (4): 2003-2015 (2018)

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Jian Cheng

Jian Cheng

Lin Cheng

Jian Cheng Wang

Guo-Jian Cheng

 

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Nonlinear System Control Using Adaptive Neural Fuzzy Networks Based on a Modified Differential Evolution., , и . IEEE Trans. Syst. Man Cybern. Part C, 39 (4): 459-473 (2009)Wall-following and Navigation Control of Mobile Robot Using Reinforcement Learning Based on Dynamic Group Artificial Bee Colony., , и . Journal of Intelligent and Robotic Systems, 92 (2): 343-357 (2018)Interval Type-2 Neural Fuzzy Controller-Based Navigation of Cooperative Load-Carrying Mobile Robots in Unknown Environments., , и . Sensors, 18 (12): 4181 (2018)An Efficient Genetic Algorithm for TSK-Type Neural Fuzzy Identifier Design., , и . IEA/AIE, том 3533 из Lecture Notes in Computer Science, стр. 551-553. Springer, (2005)Efficient Reinforcement Hybrid Evolutionary Learning for Recurrent Wavelet-Based Neuro-fuzzy Systems., , и . IEA/AIE, том 4570 из Lecture Notes in Computer Science, стр. 207-216. Springer, (2007)A self-organizing recurrent fuzzy CMAC model for dynamic system identification., , и . FUZZ-IEEE, стр. 697-702. IEEE, (2004)An immune symbiotic evolution learning for compensatory neural fuzzy networks and its applications., , и . FUZZ-IEEE, стр. 2819-2826. IEEE, (2011)A pseudo-Gaussian-based compensatory neural fuzzy system., и . FUZZ-IEEE, стр. 214-219. IEEE, (2003)Power estimation starategies for a low-power security processor., , , , , , и . ASP-DAC, стр. 367-371. ACM Press, (2005)Identification and Prediction Using Neuro-Fuzzy Networks with Symbiotic Adaptive Particle Swarm Optimization., , и . Informatica (Slovenia), 35 (1): 113-122 (2011)