Structural damage detection using the optimal weights of the approximating artificial neural networks.
This work presents a novel neural network based approach to detect structural damage. The proposed approach comprises two steps. The first step, system identification, involves using neural system identification networks (NSINs) to identify the undamaged and damaged states of a structural system. Th...
| Pubblicato in: | Earthquake engineering & structural dynamics. 31, 2 (2002). |
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| Natura: | Articolo |
| Lingua: | English |
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