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




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.