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Querying RDF Data with Imprecise Time Phrases.

, , , и . WI-IAT (1), стр. 445-450. IEEE Computer Society, (2015)

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Witold Jeszke

Witold Lesniak

Witold Ostapowicz

Witold Zenk

Witold Slowinski

 

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The design of self-organizing Polynomial Neural Networks., и . Inf. Sci., 141 (3-4): 237-258 (2002)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)Augmenting Scan Path SRLs with an XOR Network to Enhance Delay Fault Testing., , и . DFT, стр. 55-64. IEEE Computer Society, (1994)Genetically Optimized Self-organizing Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons: Analysis and Design., и . Engineering Evolutionary Intelligent Systems, том 82 из Studies in Computational Intelligence, Springer, (2008)Improving Consistency in Fuzzy Preference Relations with an Allocation of Information Granularity., , , и . SoMeT, том 265 из Frontiers in Artificial Intelligence and Applications, стр. 194-205. IOS Press, (2014)Fuzzy set-oriented neural networks based on fuzzy polynomial inference and dynamic genetic optimization., , , и . Knowl. Inf. Syst., 39 (1): 207-240 (2014)Concepts formation: Representation and processing issues., и . Int. J. Intell. Syst., 7 (1): 3-13 (1992)Computational Intelligence - The Quests and Opportunities.. IJCCI, стр. 11-11. INSTICC Press, (2009)A Convex Hull-Based Fuzzy Regression to Information Granules Problem - An Efficient Solution to Real-Time Data Analysis., , и . ICSECS (2), том 180 из Communications in Computer and Information Science, стр. 190-204. Springer, (2011)Polynomial-based radial basis function neural networks (P-RBF NNs) and their application to pattern classification., , и . Appl. Intell., 32 (1): 27-46 (2010)