Damage identification based on convolutional neural network and recurrence graph for beam bridge
Traditional statistical pattern identification methods, such as artificial neural network and support vector machine, have limited ability to identify minor damage of bridges. Deep learning can mine the inherent law and representation level of sample data. As a typical algorithm of deep learning, co...
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Veröffentlicht in: | Structural health monitoring 2021-07, Vol.20 (4), p.1392-1408 |
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Sprache: | eng |
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