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The development of granular metastructures and their use in a multifaceted representation of data and models.

. Kybernetes, 39 (7): 1184-1200 (2010)

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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)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)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)Modeling Nonlinear Systems: An Approach of Boosted Linguistic Models., , and . FSKD (2), volume 3614 of Lecture Notes in Computer Science, page 514-523. Springer, (2005)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)