Fuzzy hyperbolic neural network with time-varying delays

In this paper, the formula of fuzzy basis functions with time-varying delays (DFBF) is firstly given. Based on the DFBF, a novel fuzzy hyperbolic neural network with time-varying delays (DFHNN) and its approximation properties are presented, respectively. By constructing an appropriate Lyapunov–Krasovskii functional, the stability of DFHNN is discussed, and some new criteria concerning the global exponential stability of DFHNN are proposed. Finally, three numerical examples are given to demonstrate the effectiveness of the obtained results.