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In this paper, an adaptive neural network controller was presented for a class of strict-feedback time-delay nonlinear system with input saturation. Based on the backstepping technique, an adaptive controller which contained a saturation compensator was obtained by constructing a Lyapunov-Krasovskii functional. It's proved that the semi-global uniform ultimate boundedness of all the signals in the closed-loop systems was guaranteed. Validity of the proposed approach was shown in a simulation example.