Stability analysis of recurrent type-2 TSK fuzzy systems with nonlinear consequent part
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-015-2036-3.pdf
Reference47 articles.
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2. Gaxiola F, Melin P, Valdez F, Castillo O (2014) Interval type-2 fuzzy weight adjustment for back propagation neural networks with application in time series prediction. Inf Sci 260:1–14
3. Castillo O, Castro JR, Melin P, Díaz AR (2014) Application of interval type-2 fuzzy neural networks in non-linear identification and time series prediction. Soft Comput 18(6):1213–1224
4. Castillo O, Castro JR, Melin P, Díaz AR (2013) Universal approximation of a class of interval type-2 fuzzy neural networks in nonlinear identification. Adv Fuzzy Syst 2013:1–16. Art ID 136214
5. Castro JR, Castillo O, Melin P, Díaz AR (2009) A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks. Inf Sci 179(13):2175–2193
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