Peak Ground Acceleration Prediction by Artificial Neural Networks for Northwestern Turkey

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 th...

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Veröffentlicht in:	Mathematical Problems in Engineering 2008-01, Vol.2008 (1), p.1413-1432
Hauptverfasser:	Gunaydin, Kemal, Gunaydin, Ayten
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Back propagation networks Earthquake prediction Earthquakes Ground motion Neural networks Radial basis function Regression analysis Studies
Online-Zugang:	Volltext
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