Direct identification of structural parameters from dynamic responses with neural networks

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发表刊物：

Engineering Applications of Artificial Intelligence

关键字：

Neural networks; Identification; Damage detection; Dynamic responses...

摘要：

A novel neural network-based strategy is proposed and developed for the direct identification of structural parameters (stiffness and damping coefficients) from the time-domain dynamic responses of an object structure without any eigenvalue analysis and extraction and optimization process that is required in many identification algorithms for inverse problems...

论文类型：

期刊论文

文献类型：

卷号：

期号：

页面范围：

931-943

是否译文：

否

CN号：

null

发表时间：

2004-09-28

第一作者：

许斌

合写作者：

吴智深,陈根达,Koichi Yokoyama

附件：

ebdb8b23ce99b27d147019a678a023eceef7.pdf

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