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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)

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Algorithmic Developments of Information Granules of Higher Type and Higher Order and Their Applications.. WILF, volume 10147 of Lecture Notes in Computer Science, page 27-41. (2016)Granular classifiers and their design through refinement of information granules., , , and . Soft Comput., 21 (10): 2745-2759 (2017)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)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)Interval Type-2 fuzzy C-Means approach to collaborative clustering., , and . FUZZ-IEEE, page 1-7. IEEE, (2015)Fuzzy relational structures: Learning alternatives for fuzzy modeling., and . IFSA/NAFIPS, page 374-379. IEEE, (2013)Finite automata with imperfect information as tools for accumulating information., and . IFSA/NAFIPS, page 1360-1365. IEEE, (2013)Application of granular fuzzy modeling for abstracting labour productivity knowledge bases., , and . IFSA/NAFIPS, page 1096-1101. IEEE, (2013)A parametric heterogeneous fuzzy data model., , and . ICNN, page 354-358. IEEE, (1995)A Case Study on the Impact of Refactoring on Quality and Productivity in an Agile Team., , , , and . CEE-SET, volume 5082 of Lecture Notes in Computer Science, page 252-266. Springer, (2007)