In this paper, direct adaptive neural network control is presented for a class of discrete-time SISO non-affine nonlinear systems. Based on the input-output model, multi-layer neural networks are used to emulate the implicit desired feedback control. For the multi-layer neural network control, projection algorithms are used to guarantee the boundness of the neural network weights. The stability of the closed-loop system is proved by using Lyapunov theorem.