Probabilistic Seismic Hazard Analysis of a Back Propagation Neural Network Predicting the Peak Ground Acceleration

Probabilistic Seismic Hazard Analysis of a Back Propagation Neural Network Predicting the Peak Ground Acceleration

Probabilistic seismic hazard analysis (PSHA) has been recognized as a reasonable method for quantifying seismic threats. Traditionally, this method ignores the effect of the focal depth, in which the ground motion prediction equations (GMPEs) are applied to estimate the probability distribution asso...

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Bibliographic Details
Main Authors: Xin Guo, Hongnan Li, Hao Zhang, Qi Wang, Jiran Xu
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
back propagation neural network
hazard analysis
peak ground motion
probabilistic analysis
Online Access:https://www.mdpi.com/2076-3417/13/17/9790

Internet

https://www.mdpi.com/2076-3417/13/17/9790

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