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.
Allamehzadeh,M and Mokhtari,M . (2003). Prediction of Aftershocks Distribution Using Self-Organizing Feature Maps (SOFM) and Its Application on the Birjand-Ghaen and Izmit Earthquakes. Journal of Seismology and Earthquake Engineering, 5(3), 1-15.
MLA
Allamehzadeh,M , and Mokhtari,M . "Prediction of Aftershocks Distribution Using Self-Organizing Feature Maps (SOFM) and Its Application on the Birjand-Ghaen and Izmit Earthquakes", Journal of Seismology and Earthquake Engineering, 5, 3, 2003, 1-15.
HARVARD
Allamehzadeh M, Mokhtari M. (2003). 'Prediction of Aftershocks Distribution Using Self-Organizing Feature Maps (SOFM) and Its Application on the Birjand-Ghaen and Izmit Earthquakes', Journal of Seismology and Earthquake Engineering, 5(3), pp. 1-15.
CHICAGO
M Allamehzadeh and M Mokhtari, "Prediction of Aftershocks Distribution Using Self-Organizing Feature Maps (SOFM) and Its Application on the Birjand-Ghaen and Izmit Earthquakes," Journal of Seismology and Earthquake Engineering, 5 3 (2003): 1-15,
VANCOUVER
Allamehzadeh M, Mokhtari M. Prediction of Aftershocks Distribution Using Self-Organizing Feature Maps (SOFM) and Its Application on the Birjand-Ghaen and Izmit Earthquakes. J Seismol Earthq Eng. 2003;5(3):1-15.
