神经网络在加工误差控制中的应用

加工误差的控制是自动化加工技术中的难题，传统的控制理论不能解决一些问题。通过人工神经网络建立起切削加工自动控制系统，具体训练网络采用离线训练，将样本数据准备后用Matlab工具箱函数即可完成，并应用于实际的切削过程。结果表明，神经网络控制系统能有效的控制加工误差。

Neural Network Application in Machining Error Control

Machining error control is one of the most difficult problems in automated processing technology, although the tradi- tional control theory can not be solved, some problems. By artificial neural network, a machining automatic control system is established, the specific training network uses the offline training, after the sample data to be prepared for the Matlab, toolbox function can be completed, and applied to the actual cutting process. The results show that the neural network control system can effectively control the machining errors.