In the second stage, the artificial neural network is used to identify damaged member in a damaged segment.
第二阶段,在已知损伤桥板段后,采用神经网络方法来识别具体的损伤构件。
In the second stage, the artificial neural network is used to identify damaged member in a damaged segment. The results show that the pro…
数值模拟结果表明 ,采用本文提出的损伤指标、采用神经网络方法 ,分两阶段进行青马大桥桥板结构的损伤位置识别是有可能的。
Secondly, the profile and layer of the damaged member is also determined by probabilistic neural network with input of the normalized damage-signal index.
然后将构件损伤引起的标准化的损伤信号指标输入概率神经网络,进行损伤构件所在侧面及所在层的判定;
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