后级使用径向基神经网络作信号拟合，提取SEP信号的特征。

Afterward, its output is estimated by radial basis function neural network (RBFNN) for extracting SEP features.

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本文使用径向基神经网络确定各个因素之间的非线性复杂关系。

In this paper, radial basis function neural network was employed to approximate the nonlinear complex relationship of all factors.

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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。

A neural network based on radial basis function (RBF) was used to predict and compensate the thermal error of a CNC turning center.

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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。

A neural network based on radial basis function (RBF) was used to predict and compensate the thermal error of a CNC turning center.

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