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A Multilayer Feedforward Fuzzy Neural Network
2006This paper describes the architecture and learning procedure of a multilayer feedforward fuzzy neural network (FNN). The FNN is designed by replacing the sigmoid type activation function of the multilayer neural network (NN) with the fuzzy system (FS). The Levenberg-Marquardt (LM) optimization method with a trust region approach is adapted to train the
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Fuzzy Broad Learning System: A Novel Neuro-Fuzzy Model for Regression and Classification
IEEE Transactions on Cybernetics, 2020Feng Shuang, C P Chen
exaly
Information fusion for intuitionistic fuzzy decision making: An overview
Information Fusion, 2016Zeshui Xu
exaly
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems, 2002Baoding Liu
exaly
Approximate reasoning with generalized orthopair fuzzy sets
Information Fusion, 2017Ronald R Yager, Naif Alajlan
exaly
A Survey on Analysis and Design of Model-Based Fuzzy Control Systems
IEEE Transactions on Fuzzy Systems, 2006G Feng
exaly

