Theoretical Results on Learning Convergence of Generali zed Fuzzy CMAC
关于广义模糊CMAC学习收敛性的理论结果

In this paper, a generalize d fuzzy CMAC (cerebellar model articulation controller) is presented, the suffici ent condition of the learning of the generalized fuzzy CMAC is derived, and fina lly the learning convergence of the generalized fuzzy CMAC to the least square error is proved. The results provide a mathematical foundation for the generaliz ed fuzzy CMAC's wide applications.