Abstract
Each year bridge collapse causes huge loss in China. The damage identification of bridges is a difficult problem. The Pattern recognition is an important method in security assessment of structural health monitoring. Taking a railway bridge as an example, the paper introduces the application of the pattern recognition algorithms in damage identification. It is concluded that preparation work involved infinite element analysis, feature extract, and sample training is important to improve the identification effect for the pattern recognition.
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Guo, Y. (2013). The Application of the Pattern Recognition Algorithms in Security Assessment of Structural Health Monitoring for Bridges. In: Tan, Y., Shi, Y., Mo, H. (eds) Advances in Swarm Intelligence. ICSI 2013. Lecture Notes in Computer Science, vol 7929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38715-9_29
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DOI: https://doi.org/10.1007/978-3-642-38715-9_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38714-2
Online ISBN: 978-3-642-38715-9
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