Data mining algorithms for bridge health monitoring: Kohonen clustering and LSTM prediction approaches

In recent years, bridge health monitoring system has been widely used to deal with massive data produced with the continuous growth of monitoring time. However, how to effectively use these data to comprehensively analyze the state of a bridge and provide early warning of bridge structure changes is...

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Veröffentlicht in:The Journal of supercomputing Jg. 76; H. 2; S. 932 - 947
Hauptverfasser: Guo, Aiping, Jiang, Ajuan, Lin, Jie, Li, Xiaoxiao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.02.2020
Springer Nature B.V
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ISSN:0920-8542, 1573-0484
Online-Zugang:Volltext
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