In this paper, a neural networks (NNs) based control for non-linear time-varying (NLTV) machining process is proposed. The NLTV machining system is modeled by the back-propagation (BP) NN and the controller is designed also by the BP learning algorithm. The simulation of a constant turning force system with this NNs based control strategy shows good robustness for parameter disturbance of the turning systemIn this paper, a neural networks (NNs) based control for non-linear time-varying (NLTV) machining process is proposed. The NLTV machining system is modeled by the back-propagation (BP) NN and the controller is designed also by the BP learning algorithm. The simulation of a constant turning force system with this NNs based control strategy shows good robustness for parameter disturbance of the turning system.