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。
The structural function model can be obtained by composing the sub-functions using these composition relationship.
系统的功能结构模型由子功能通过这些组合关系组合得到。
The structural similarity is calculated using the frequency domain, the brightness, and the contrast functions.
由频域函数、亮度函数和对比度函数计算得到结构相似度。
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