Prediction of peak ground acceleration of Iran's tectonic regions using a hybrid soft computing technique

Prediction of peak ground acceleration of Iran's tectonic regions using a hybrid soft computing technique

A new model is derived to predict the peak ground acceleration (PGA) utilizing a hybrid method coupling artificial neural network (ANN) and simulated annealing (SA), called SA-ANN. The proposed model relates PGA to earthquake source to site distance, earthquake magnitude, average shear-wave velocity...

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Bibliographic Details
Main Authors: Mostafa Gandomi, Mohsen Soltanpour, Mohammad R. Zolfaghari, Amir H. Gandomi
Format: Article
Language:English
Published: Elsevier 2016-01-01
Series:Geoscience Frontiers
Subjects:
Peak ground acceleration
Artificial neural networks
Simulated annealing
Explicit formulation
Online Access:http://www.sciencedirect.com/science/article/pii/S1674987114001376

Internet

http://www.sciencedirect.com/science/article/pii/S1674987114001376

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