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人工神经网络在结构损伤识别中的应用
引用本文:陈素文,李国强. 人工神经网络在结构损伤识别中的应用[J]. 振动、测试与诊断, 2001, 21(2): 116-124
作者姓名:陈素文  李国强
作者单位:同济大学建筑工程系
摘    要:综合论述了人工神经网络在损伤识别中的作用,主要探讨了分步识别理论和输入参数的选择,并介绍了几种改进的BP算法,最后指出了人工神经网络在高层建筑损伤识别中应用所需要解决的问题。

关 键 词:神经网络 结构 输入参数 分步识别 高层建筑 损伤识别
修稿时间:1999-10-13

Application of Artificial Neural Networks to Damage Identification of Structures
Chen Suwen Li Guoqiang. Application of Artificial Neural Networks to Damage Identification of Structures[J]. Journal of Vibration,Measurement & Diagnosis, 2001, 21(2): 116-124
Authors:Chen Suwen Li Guoqiang
Abstract:It is known that artificial neural network is a promising computing tool for structural damage detection. The application of artificial neural networks to structural damage identification is presented in this paper. For the damage identification of tall buildings, a hierarchical identification approach is introduced, and the selection of input vectors is discussed. Several improved BP algorithms, such as genetic algorithm, dynamic learning rate training, and so on, are introduced. Problems for solution in the application of BP network to damage identification of tall buildings are posed.
Keywords:damage neural network structure input vector hierarchical identification
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