Prediction of Aftershocks Distribution Using Self-Organizing Feature Maps (SOFM) and Its Application on the Birjand-Ghaen and Izmit Earthquakes

Allamehzadeh, Mostafa; Mokhtari, Mohammad

Prediction of Aftershocks Distribution Using Self-Organizing Feature Maps (SOFM) and Its Application on the Birjand-Ghaen and Izmit Earthquakes

Document Type : Seismology and Engineering Seismology

Authors

Mostafa Allamehzadeh
Mohammad Mokhtari

IIEES

Abstract

Self-Organizing Feature Maps (SOFM) have become powerful intelligent tools in recent years, used widely in pattern recognition and data clustering [5]. This paper has shown that SOFM can be used to predict the concentration and the trend of aftershocks of 1997 Birjand-Ghaen, Iran and 1999 Izmit, Turkey earthquakes. The present experiments using SOFM confirmed the algorithm could be applied for the prediction of local distribution of aftershock region.

Keywords

Self-Organizing Feature Maps
Aftershocks
prediction
Clustering
Concentration

Journal of Seismology and Earthquake Engineering

Volume 5, Issue 3 - Serial Number 3
October 2003
Pages 1-15

Prediction of Aftershocks Distribution Using Self-Organizing Feature Maps (SOFM) and Its Application on the Birjand-Ghaen and Izmit Earthquakes

Volume 5, Issue 3 - Serial Number 3October 2003Pages 1-15

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Volume 5, Issue 3 - Serial Number 3
October 2003
Pages 1-15