Peak Ground Acceleration Prediction by Artificial Neural Networks for Northwestern Turkey
Joint Authors
Günaydın, Ayten
Günaydın, Kemal
Source
Mathematical Problems in Engineering
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-12-22
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
Three different artificial neural network (ANN) methods, namely, feed-forward back-propagation (FFBP), radial basis function (RBF), and generalized regression neural networks (GRNNs) were applied to predict peak ground acceleration (PGA).
Ninety five three-component records from 15 ground motions that occurred in Northwestern Turkey between 1999 and 2001 were used during the applications.
The earthquake moment magnitude, hypocentral distance, focal depth, and site conditions were used as inputs to estimate PGA for vertical (U-D), east-west (E-W), and north-south (N-S) directions.
The direction of the maximum PGA of the three components was also added to the input layer to obtain the maximum PGA.
Testing stage results of three ANN methods indicated that the FFBPs were superior to the GRNN and the RBF for all directions.
The PGA values obtained from the FFBP were modified by linear regression analysis.
The results showed that these modifications increased the prediction performances.
American Psychological Association (APA)
Günaydın, Kemal& Günaydın, Ayten. 2008. Peak Ground Acceleration Prediction by Artificial Neural Networks for Northwestern Turkey. Mathematical Problems in Engineering،Vol. 2008, no. 2008, pp.1-20.
https://search.emarefa.net/detail/BIM-508146
Modern Language Association (MLA)
Günaydın, Kemal& Günaydın, Ayten. Peak Ground Acceleration Prediction by Artificial Neural Networks for Northwestern Turkey. Mathematical Problems in Engineering No. 2008 (2008), pp.1-20.
https://search.emarefa.net/detail/BIM-508146
American Medical Association (AMA)
Günaydın, Kemal& Günaydın, Ayten. Peak Ground Acceleration Prediction by Artificial Neural Networks for Northwestern Turkey. Mathematical Problems in Engineering. 2008. Vol. 2008, no. 2008, pp.1-20.
https://search.emarefa.net/detail/BIM-508146
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-508146