摘要
通过神经模糊控制方法对机床热误差进行建模,所建模型的输出值与实验测量值拟合得非常好,显示了较高的精度;将该模型与多元线性回归方法所建立模型进行比较,证明了该方法的优越性。
Proposes a method of machine tools thermal error modeling by neural-fuzzy control, the model whose output value and the experimental measured data fitted very well shows higher accuracy;the method can be proved its superiority by comparing the model built with another model set up by method of multiple linear regression.
出处
《现代制造工程》
CSCD
北大核心
2012年第11期77-80,共4页
Modern Manufacturing Engineering
基金
上海市科学技术委员会基金资助项目(10DZ2292100)
关键词
神经模糊控制
热误差建模
模型精度
neural-fuzzy control
thermal error modeling
precision of the model
