提出了一种新颖的神经网络模糊控制器，其模糊控制表由神经网络替代．控制器通过在线学习能自适应被控对象的变化，控制性能良好．将该控制器用于铣削过程控制，使铣削力在加工条件变化过程中始终保持相对稳定，从而提高了铣床的加工效率，并能保证加工质量，保护刀具．还给出了试验结果． A novel neural network fuzzy controller is proposed, whose fuzzy control table is replaced by a neural network. The controller can control the change of the controlled object through the online learning, and the control performance is good. The controller for the milling process control, the milling force in the process of changing conditions has always been relatively stable, thus increasing the milling machine’s processing efficiency, and to ensure the processing quality, protect the tool. Also gives the test results.