Fuzzy identification of systems based on adaptive neurons
Abigail María Elena Ramírez-Mendoza, Wen Yu, Xiaoou Li · Journal of Intelligent & Fuzzy Systems · 2021
The identification of nonlinear systems is a complex task. This article presents a method comparison between the new Fuzzy Adaptive Neurons (FAN), Radial Basis Function Network (RBF), and Adaptive Network-Based Fuzzy Inference System (ANFIS). The nonlinear systems presented are solved with stable and optimal learning. The simulation of the results for two models presented, are carried out in Matlab®, the optimization of the system identification for the first and second systems were obtained with great success.