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Simplified Fuzzy Inference Rule-Based Genetically Optimized Hybrid Fuzzy Neural Networks.

, , and . International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 16 (2): 245-274 (2008)

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Fuzzy polynomial neural networks: hybrid architectures of fuzzy modeling., , and . IEEE Trans. Fuzzy Syst., 10 (5): 607-621 (2002)Self-organizing neurofuzzy networks based on evolutionary fuzzy granulation., , and . IEEE Trans. Syst. Man Cybern. Part A, 33 (2): 271-277 (2003)A testbed for development and test of the safe driving system., , , and . ICTC, page 1149-1151. IEEE, (2016)Design of context-FCM based RBF neural networks with the aid of data information granulation., , and . RACS, page 20-25. ACM, (2012)Seven emotion recognition by means of particle swarm optimization on physiological signals: Seven emotion recognition., , , , and . ICNSC, page 277-282. IEEE, (2012)Genetically Optimized Hybrid Fuzzy Neural Networks Based on Simplified Fuzzy Inference Rules and Polynomial Neurons., , , and . International Conference on Computational Science (1), volume 3514 of Lecture Notes in Computer Science, page 798-803. Springer, (2005)Implementation of model-based development tool and run-time engine for digital cockpit system., , and . ICTC, page 1064-1066. IEEE, (2017)Self-organizing neurofuzzy networks in modeling software data., , and . Fuzzy Sets Syst., 145 (1): 165-181 (2004)Polynomial-based radial basis function neural networks (P-RBF NNs) and their application to pattern classification., , and . Appl. Intell., 32 (1): 27-46 (2010)Fuzzy set-oriented neural networks based on fuzzy polynomial inference and dynamic genetic optimization., , , and . Knowl. Inf. Syst., 39 (1): 207-240 (2014)