Nonlinear systems identification via two types of recurrent fuzzy CMAC

摘要

Normal fuzzy CMAC neural network performs well for nonlinear systems identification because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires huge memory and the dimension increases