An Improved Generalized Fuzzy Model Based on Epanechnikov Quadratic Kernel and Its Application to Nonlinear System Identification
Author:
Publisher
Allerton Press
Subject
Signal Processing,Control and Systems Engineering,Software
Link
http://link.springer.com/content/pdf/10.3103/S0146411619010103.pdf
Reference41 articles.
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3. Verma, N.K. and Madasu Hanmandlu, From a Gaussian mixture model to non-additive fuzzy systems, IEEE Trans. Fuzzy Syst., 2007, vol. 15, no. 2, pp. 1–19.
4. Maciel, L., Ballini, R., and Gomide, R., Evolving possibilistic fuzzy modelling, J. Stat. Comput. Simul., 2017, vol. 87, no. 7, pp. 1446–1466.
5. Md. Rafiul Hassan, Baikunth Nath, Michael Kirley, and Joarder Kamruzzaman, A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction, Neurocomputing, 2012, vol. 81, no. 2, pp. 1–11.
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