Based on this, bring forward the BP neural network structural damage detection method based on modal parameters.

在此基础上提出了基于模态参数的BP神经网络结构损伤识别方法。

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Due to its structural simplicity, the radial basis function (RBF) neural network has been widely used for approximation and classification.

径向基函数(RBF)神经网络因其结构简单而被广泛地用于非线性函数近似和数据分类。

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As the method can only detect single damage in beam, this paper proposes the method of combining moving mass method and neural network to detect structural damage.

鉴于该方法只能识别梁中的单处损伤，提出了结合移动质量法和神经网络进行结构损伤识别的方法。

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