Earthquake prediction technique: a comparative study

Earthquakes are one of the most dangerous natural disasters facing humans because their occurrence without warning and impact on lives property. In addition, predicting seismic movement is main research topics in disaster prevention. geological studies, scientists can predict know locations earthquakes long term. Therefore, about 80% major global lie along Pacific Ring belt, known as Fire. Machine learning methods have also been used for short-term earthquake prediction, studies applied random forest method to determine factors that precede earthquakes. The machine was based various decision trees, each which predicted time nearest oscillation. third group hybrid prediction method, combines studies. This deals with a review techniques data sets, showed total lack potential through approach, so designed by geologists were combined learning.