A neural network based on radial basis function (RBF) was used to predict and compensate the thermal error of a CNC turning center.
文中使用径向基函数理论建立了基于RBF神经网络的数控机床热误差数学模型。
The choice of the center of radial basis function, constructing an improved RBF network and its application to recognize the trained samples and test samples were discussed.
讨论了径向基函数中心的选取，构造了改进的RBF网络对训练样本和测试样本进行识别。
The choice of the center of radial basis function, constructing an improved RBF network and its application to recognize the trained samples and test samples were discussed.
讨论了径向基函数中心的选取，构造了改进的RBF网络对训练样本和测试样本进行识别。
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