article
A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks
Juan R. Castroa b, Oscar Castilloc d✉, Patricia Melínc d, Antonio Rodríguez-Díaza b
- aUABC University, Tijuana, Mexico
- bUABC University, Tijuana, Mexico#TAB#
- cTijuana Institute of Technology, Division of Graduate Studies and Research, Department of Computer Science, 22500 Tijuana, Mexico
- dTijuana Institute of Technology, Division of Graduate Studies and Research, Department of Computer Science, 22500 Tijuana, Mexico#TAB#
- ✉Corresponding author
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Abstract
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TL;DRThree interval type-2 fuzzy neural network (IT2FNN) architectures are proposed, with hybrid learning algorithm techniques (gradient descent backpropagation and gradient descent with adaptive learning rate back Propagation) and proved to be more efficient mechanism for modeling real-world problems. (Semantic Scholar)