AN APPLICATION OF SUPPORT VECTOR MACHINE METHOD TO SHORT-TERM EARTHQUAKE PREDICATION

Support Vector Machine(SVM) is a new machine leaning method based on statistical learning theory.This method has obvious advantages in processing small-sample and nonlinear problems.As a matter of fact, the generation of earthquake is a very complicated nonlinear dynamic problem and the earthquake data manifest the nonlinear and irregular characteristics.This paper analyzed the seismic precursor of Tianjin city and neighborhood systematically and presented a synthetic earthquake predication model with a method of SVM classification by employing the seismic precursor information which reflects the short-term situation of 2~3 months.The analysis results show that this method is effective and has a good application future.