In this paper,the adaptive neural network tracking control is addressed based on event-triggering mechanism for a class of nonstrict-feedback nonlinear systems.By combining backstepping technology,neural network and event-triggering mechanism,an adaptive neural network control scheme is proposed,which reduces the data amount transmitted between the controller and the actuator,ensures the output signal to track the reference signal as much as possible,and guarantees all the signals of the closed-loop system to be bounded.In addition,the feasibility of the proposed event-triggering mechanism is ensured by avoiding Zeno phenomenon.Finally,an example is given to verify the effectiveness of the proposed scheme.