A Neuro-Evolutive Interval Type-2 TSK Fuzzy System for Volatile Weather Forecasting

Author:

Kalenatic Dusko,Figueroa-García Juan C.,Lopez Cesar Amilcar

Publisher

Springer Berlin Heidelberg

Reference11 articles.

1. Melgarejo, M., Bernal, H., Duran, K.: Improved iterative algorithm for computing the generalized centroid of an interval type-2 fuzzy set. In: 2008 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS), vol. 27, pp. 1–6. IEEE, Los Alamitos (2008)

2. Mendez, G., Castillo, O.: Interval type-2 tsk fuzzy logic systems using hybrid learning algorithm. In: Proceedings of IEEE FUZZ Conference, vol. 27, pp. 230–235. IEEE, Los Alamitos (2005)

3. Figueroa, J.C.: An evolutive interval type-2 TSK fuzzy logic system for volatile time series identification. In: 2009 Conference on Systems, Man and Cybernetics, pp. 1–6. IEEE, Los Alamitos (2009)

4. Figueroa, J.C., Soriano, J.J.: A comparison of ANFIS, ANN and DBR systems on volatile time series identification. In: IEEE (ed.) 2007 Annual Meeting of the North American Fuzzy Information Processing Society, vol. 26, pp. 321–326. IEEE, Los Alamitos (2007)

5. Goldfeld, S., Quandt, R.: Nonlinear Methods in Econometrics. North Holland, Amsterdam (1972)

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