The application of ant-colony clustering algorithm to earthquake prediction

Abstract

Ant-colony clustering algorithm can well analyze the nonlinear relation between future earthquake magnitude, occurrence time and various anomalies before the earthquake, because it has stronger clustering function. This algorithm was applied to the Intelligence Decision Support System for earthquake prediction. The construction of ant-colony clustering algorithm in the system and its application in earthquake prediction was presented in this paper. Finally, the experiment showed that ant-colony clustering algorithm could achieve better results than the traditional k-means algorithm. © 2012 Springer-Verlag.