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Filtering by: Alternative title ssim Circular of information no. 36 Conference Name 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (ECCOMAS-COMPDYN 2021 ) License Attribution 4.0 (CC BY 4.0)

Structural Damage Prediction Under Seismic Sequence Using Neural Networks

Creator:

Lazaridis, Petros C., Kavvadias, Ioannis E., Demertzis, Konstantinos, Iliadis, Lazaros, Papaleonidas, Antonios, Vasiliadis, Lazaros K., and Elenas, Anaxagoras

Abstract:

Advanced machine learning algorithms, such as neural networks, have the potential to be successfully applied to many areas of system modelling. Several studies have been already conducted on forecasting structural damage due to individual earthquakes, ignoring the influence of seismic sequences, using neural networks. In the present study, an ensemble...

Resource Type:

Conference Proceeding

Full Text:

, Antonios Papaleonidas1, Lazaros K. Vasiliadis1, Anaxagoras Elenas1 1Department of Civil Engineering

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Structural Damage Prediction Under Seismic Sequence Using Neural Networks

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