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热误差是数控机床的最大误差源．本研究通过对机床热特性的实验和分析，利用神经网络模型对非线性热误差进行了补偿．
Thermal error is the biggest source of error for CNC machine tools. In this research, the thermal error of the machine is compensated by the neural network model through the experiment and analysis of the thermal characteristics of the machine tool.