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Genetically Dynamic Optimization Based Fuzzy Polynomial Neural Networks.

, , , and . International Conference on Computational Science (1), volume 3514 of Lecture Notes in Computer Science, page 792-797. Springer, (2005)

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Design of hybrid radial basis function neural networks (HRBFNNs) realized with the aid of hybridization of fuzzy clustering method (FCM) and polynomial neural networks (PNNs)., , and . Neural Networks, (2014)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)Design of context-FCM based RBF neural networks with the aid of data information granulation., , and . RACS, page 20-25. ACM, (2012)Granular Neural Networks and Their Development Through Context-Based Clustering and Adjustable Dimensionality of Receptive Fields., , and . IEEE Trans. Neural Networks, 20 (10): 1604-1616 (2009)Genetically Optimized Hybrid Fuzzy Neural Networks in Modeling Software Data., , , and . MDAI, volume 3558 of Lecture Notes in Computer Science, page 338-345. Springer, (2005)The Design of Fuzzy Controller by Means of Genetic Algorithms and NFN-Based Estimation Technique., , and . PRICAI, volume 4099 of Lecture Notes in Computer Science, page 829-833. Springer, (2006)Optimization of Self-organizing Fuzzy Polynomial Neural Networks with the Aid of Granular Computing and Evolutionary Algorithm., , and . IEA/AIE, volume 4031 of Lecture Notes in Computer Science, page 472-477. Springer, (2006)Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Optimization and Information Granulation., , and . ISNN (1), volume 3496 of Lecture Notes in Computer Science, page 416-421. Springer, (2005)Genetically Optimized Hybrid Fuzzy Neural Networks Based on TSK Fuzzy Rules and Polynomial Neurons., , and . ISNN (1), volume 3496 of Lecture Notes in Computer Science, page 404-409. Springer, (2005)Optimized FCM-Based Radial Basis Function Neural Networks: A Comparative Analysis of LSE and WLSE Method., , and . ISNN (1), volume 6063 of Lecture Notes in Computer Science, page 207-214. Springer, (2010)