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Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model., , , , , и . RSFDGrC (1), том 3641 из Lecture Notes in Computer Science, стр. 402-411. Springer, (2005)Studying possibility in a clustering algorithm for RBFNN design for function approximation., , , , , , и . Neural Comput. Appl., 17 (1): 75-89 (2008)Homotopy type of skeleta of the flag complex over a finite vector space and generalized Galois numbers., , и . J. Appl. Comput. Topol., 4 (1): 181-198 (2020)Using UN/CEFACT'S Modelling Methodology (UMM) in e-Health Projects., , , и . IWANN (1), том 5517 из Lecture Notes in Computer Science, стр. 925-932. Springer, (2009)Service oriented evolutionary algorithms., , , , и . Soft Comput., 17 (6): 1059-1075 (2013)A Methodology to Develop Service Oriented Evolutionary Algorithms., , , , и . IDC, том 570 из Studies in Computational Intelligence, стр. 119-125. Springer, (2014)A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application., , , , , и . FUZZ-IEEE, стр. 1-6. IEEE, (2007)A two-stage approach to self-learning direct fuzzy controllers., , , , , и . Int. J. Approx. Reason., 29 (3): 267-289 (2002)A systematic approach to a self-generating fuzzy rule-table for function approximation., , , , и . IEEE Trans. Syst. Man Cybern. Part B, 30 (3): 431-447 (2000)DARAL: A Dynamic and Adaptive Routing Algorithm for Wireless Sensor Networks., , и . Sensors, 16 (7): 960 (2016)