The validity of structural damage detection using neural network strongly depends on the training sample.
用神经网络进行结构损伤检测、分析的有效性在很大程度上取决于训练样本的好坏。
Using MATLAB6.5 BP neural network toolbox, compiles the structural damage detection process with the input parameters based on the modal parameters of frequency and mode shape.
以MATLAB6.5BP神经网络工具箱为基础，编写了基于频率平方变化和振型模态分量为输入参数的BP神经网络结构损伤识别程序。
Using MATLAB6.5 BP neural network toolbox, compiles the structural damage detection process with the input parameters based on the modal parameters of frequency and mode shape.
以MATLAB6.5BP神经网络工具箱为基础，编写了基于频率平方变化和振型模态分量为输入参数的BP神经网络结构损伤识别程序。
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