Orthogonal-least-squares and backpropa- gation hybrid learning algorithm for interval A2-C1 singleton type-2 Takagi-Sugeno-Kang fuzzy logic systems

Gerardo Maximiliano Méndez, J. Cruz Martinez, David S. González-González, F. Javier Rendón-Espinoza · International Journal of Hybrid Intelligent Systems · 2014

A novel learning methodology based on a hybrid mechanism for training interval singleton type-2 Takagi-Sugeno-Kang fuzzy logic systems uses recursive orthogonal least-squares to tune the type-1 consequent parameters and the steepest descent method to

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