A multilayer feedforward fuzzy neural network
Makaleler > Tam Makale · 2006
Yazarlar: Aydoğan SAVRAN
ARTIFICIAL INTELLIGENCE AND NEURAL NETWORKS, SCI İndekslerine Giren Dergi, Uluslararası, 2006, cilt 3949, ss 78-83
Özet
This 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 FNN. Simulation results of a non-linear system identification problem are given to show the validity of the approach.