In this paper, an intelligent adaptive CNC system is developed based on the artificial brain-computer interface to realize the intelligent adaptive control of the cutting process of CNC machine tools and improve the cutting efficiency. The test results of intelligent adaptive control of the CNC milling process with the fuzzy controller show that the intelligent adaptive CNC system has good performance, can improve the intelligent level and adaptive ability of the CNC machine tool in the cutting process, and improve its cutting efficiency Through MATLAB/SIMULINK, the machine tool cutting process models under three conditions of closed-loop, open-loop and model reference adaptive control were simulated respectively, and the cutting performance was improved by 7.1%.