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...

Full description

Saved in:

Bibliographic Details
Published in:	The Journal of supercomputing Vol. 76; no. 2; pp. 932 - 947
Main Authors:	Guo, Aiping, Jiang, Ajuan, Lin, Jie, Li, Xiaoxiao
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.02.2020 Springer Nature B.V
Subjects:	Algorithms Bridges Clustering Compilers Computer Science Data analysis Data mining Deflection Engineering research Interpreters Neural networks Outliers (statistics) Predictions Processor Architectures Programming Languages Structural health monitoring Health monitoring Long short-term memory Kohonen clustering Structural assessment Time series
ISSN:	0920-8542, 1573-0484
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!