Two unsupervised pattern recognition algorithms, k-means, and Gaussian mixture model (GMM) analyses have been applied to classify seismic events in the vicinity of Istanbul. Earthquakes, which are occurring at different ...

Identification and classification of different seismo-tectonic events with similar characteristics in a region of interest is one of the most important subjects in seismic hazard studies. In this study, linear and nonlinear ...

The purpose of this article is to demonstrate the use of feedforward neural networks (FFNNs), adaptive neural fuzzy inference systems (ANFIS), and probabilistic neural networks (PNNs) to discriminate between earthquakes ...

The frequency-dependent attenuation of shear waves in the crust is estimated by using two different methods based on the rate of time decay of coda-wave amplitude, Q(c)(-1), and the rate of decay of the S-wave to coda wave ...

Rupture process analysis suggests two stages of rupture separated in space and time, with an estimated total scalar seismic moment of 2.42 X 10(20) N in. The first stage initiated at the epicenter, near Izmit, and propagated ...