Based on the powerful nonlinear reflection and training function of artificial neural networks, the model of BP neural network for foundation piles integrity testing is put forward.

利用人工神经网络强大的非线性映射能力和学习训练功能，提出了基于BP网络的基桩完整性检测模型。

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This paper deals with the structural health detection using measured frequency response functions (FRFs) as input data toa back propagation (BP) artificial neural networks (ANNs).

研究将实测结构频率响应函数作为反向传递人工神经网络的输入数据，用来进行结构健康检测。

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Based on BP network, the example of nonlinear regression by artificial neural networks is given.

以BP网络为例给出了基于人工神经网络的非线性回归实例分析。

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