A method of pH control for a neutralization process made use of Artificial Neural Network (ANN) to enhance a PID control. This Neuro-PID controller trained ANN based on control errors. The performance of the Neuro-PID controller was studied and evaluated by simulation, and its performance was compared with that of the conventional PID controller during actual experimentation. The simulation results showed that the Neuro-PID controller controlled the pH at a desired setpoint with a better performance than the conventional PID controller. Thus, the Neuro-PID controller could be used as an effective alternative to conventional process control techniques in the nonlinear, rapidly changing pH system.