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Local-Density-Based Optimal Granulation and Manifold Information Granule Description.

, , , and . IEEE Trans. Cybern., 48 (10): 2795-2808 (2018)

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Adaptive Processing of Sequences and Data Structures, : C. Lee Giles and Marco Gori (Eds.); Springer, Berlin, 1998, pp. 434, ISBN 3-540-64341-9.. Neurocomputing, 35 (1-4): 203-204 (2000)The design of self-organizing Polynomial Neural Networks., and . Inf. Sci., 141 (3-4): 237-258 (2002)Augmenting Scan Path SRLs with an XOR Network to Enhance Delay Fault Testing., , and . DFT, page 55-64. IEEE Computer Society, (1994)The design of fuzzy information granules: Tradeoffs between specificity and experimental evidence., and . Appl. Soft Comput., 9 (1): 264-273 (2009)Polynomial-based radial basis function neural networks (P-RBF NNs) and their application to pattern classification., , and . Appl. Intell., 32 (1): 27-46 (2010)A Convex Hull-Based Fuzzy Regression to Information Granules Problem - An Efficient Solution to Real-Time Data Analysis., , and . ICSECS (2), volume 180 of Communications in Computer and Information Science, page 190-204. Springer, (2011)Computational Intelligence - The Quests and Opportunities.. IJCCI, page 11-11. INSTICC Press, (2009)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)Genetically Optimized Self-organizing Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons: Analysis and Design., and . Engineering Evolutionary Intelligent Systems, volume 82 of Studies in Computational Intelligence, Springer, (2008)A parametric heterogeneous fuzzy data model., , and . ICNN, page 354-358. IEEE, (1995)