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

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

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An efficient recurrent fuzzy CMAC model based on a dynamic-group-based hybrid evolutionary algorithm for identification and prediction applications., and . Turkish J. Electr. Eng. Comput. Sci., 26 (4): 2003-2015 (2018)Test-Sheet Composition Using Immune Algorithm for E-Learning Application., , and . IEA/AIE, volume 4570 of Lecture Notes in Computer Science, page 823-833. Springer, (2007)Using a hybrid of fuzzy theory and neural network filter for image dehazing applications., , , , and . IJCNN, page 692-697. IEEE, (2016)An efficient forecasting model based on an improved fuzzy time series and a modified group search optimizer., , and . Appl. Intell., 46 (3): 641-651 (2017)A Self-Constructing Neural Fuzzy Network with Dynamic-Form Symbiotic Evolution., , , and . MLMTA, page 184-189. CSREA Press, (2005)An Asymmetry Subsethood-Based Neural Fuzzy Network., , and . IJCNN, page 2852-2858. IEEE, (2006)Deployment and navigation of multiple robots using a self-clustering method and type-2 fuzzy controller in dynamic environments., and . J. Intell. Fuzzy Syst., 37 (2): 2181-2195 (2019)A self-organizing neural network using hierarchical particle swarm optimization., , and . IJCNN, page 817-820. IEEE, (2011)Chord recognition using neural networks based on Particle Swarm Optimization., , and . IJCNN, page 821-827. IEEE, (2011)