Applying the General Regression Neural Network to Ground Motion Prediction Equations of Induced Events in the Legnica-Głogów Copper District in Poland

Site class mapping based on earthquake ground motion data recorded by regional seismographic network

(2014) Saman Yaghmaei-Sabegh et al.   NATURAL HAZARDS

Site specific prediction equations for peak acceleration of ground motion due to earthquakes induced by underground mining in Legnica-Głogów Copper District in Poland

(2013) Stanisław Lasocki   Acta Geophysica

Adapting the Neural Network Approach to PGA Prediction: An Example Based on the KiK-net Data

(2012) B. Derras et al.   BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA

A new method for ranking and weighting of earthquake ground-motion prediction models

(2012) Saman Yaghmaei-Sabegh   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Ground-motion prediction equations for induced seismicity in the main anticline and main syncline, Upper Silesian Coal Basin, Poland

(2011) Aneta Golik et al.   Acta Geophysica

A new site classification approach based on neural networks

(2011) Saman Yaghmaei-Sabegh et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Empirical Equations for the Prediction of PGA, PGV, and Spectral Accelerations in Europe, the Mediterranean Region, and the Middle East

(2010) S. Akkar et al.   SEISMOLOGICAL RESEARCH LETTERS

NGA Ground Motion Model for the Geometric Mean Horizontal Component of PGA, PGV, PGD and 5% Damped Linear Elastic Response Spectra for Periods Ranging from 0.01 to 10 s

(2008) Kenneth W. Campbell et al.   EARTHQUAKE SPECTRA

Summary of the Abrahamson & Silva NGA Ground-Motion Relations

(2008) Norman Abrahamson et al.   EARTHQUAKE SPECTRA

Ground-Motion Prediction Equations for the Average Horizontal Component of PGA, PGV, and 5%-Damped PSA at Spectral Periods between 0.01 sand 10.0 s

(2008) David M. Boore et al.   EARTHQUAKE SPECTRA

Peak Ground Acceleration Prediction by Artificial Neural Networks for Northwestern Turkey

(2008) Kemal Günaydın et al.   MATHEMATICAL PROBLEMS IN ENGINEERING