Código QR (código de barras bidimensional)

Neural network and support vector machine models for the prediction of the liquefaction-induced uplift displacement of tunnels

Tunnels buried in liquefiable deposits are vulnerable to liquefaction-induced uplift damage during earthquakes. This paper presents support vector machine (SVM) and artificial neural network (ANN) models to predict the liquefaction-induced uplift displacement of tunnels based on artificial databases...

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Detalhes bibliográficos
Principais autores: Gang Zheng, Wenbin Zhang, Wengang Zhang, Haizuo Zhou, Pengbo Yang
Formato: Artigo
Idioma:Inglês
Publicado em: KeAi Communications Co., Ltd. 2021-04-01
coleção:Underground Space
Assuntos:
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2467967419301011
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