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

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...

Full description

Bibliographic Details
Main Authors: Gang Zheng, Wenbin Zhang, Wengang Zhang, Haizuo Zhou, Pengbo Yang
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:Underground Space
Subjects:
Artificial neural network
Support vector machine
Liquefaction
Uplift displacement
Online Access:http://www.sciencedirect.com/science/article/pii/S2467967419301011

Internet

http://www.sciencedirect.com/science/article/pii/S2467967419301011

Similar Items